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How Do Our Ontological Philosophical Stances Shape Our Understanding of Customer Insights to Better Enhance Customer Experience in the Age of AI?

Understanding customer insights is crucial for strategic decision-making within organizations, serving as a vital tool for managers to assess customer needs and gauge their perception of the value provided by the company. These insights are instrumental in driving profitable customer-centric growth and enable organizations to adapt effectively to changes in the market environment. By grasping both current and anticipated customer behaviours, businesses can better position themselves for future success (Macdonald et al., 2012). In the realm of customer experience management (CXM), customer insights play a pivotal role in shaping effective customer experience management strategies, enabling businesses to tailor their services and products to meet the evolving needs and preferences of their clientele. By leveraging deep understanding gained from customer insights, companies can enhance customer satisfaction, foster loyalty, and drive sustainable growth (Kasaji, 2024; Holmlund et al., 2020).

The multifaceted nature of CXM has attracted attention from diverse disciplinary lenses, each offering distinct insights into enhancing customer experiences. Hence, CXM professionals hail from a diverse array of disciplinary backgrounds, each bringing a distinct ontological lens through which they perceive and interpret customer insights.  Whether consciously or unconsciously, CXM professionals operate within the bounds of their own ontological approaches, deeply influencing their interpretation of customer insights and behaviours (Kasaji, 2024). These perspectives, whether Realist or Idealist, influence how they interpret customer insights and shape their approach to CX strategy.

For example, Marketing professionals typically approach CXM with a focus on how the brand is perceived and engaged with in the marketplace. They concentrate on refining the marketing mix—product, price, promotion, and place—to craft experiences that resonate with customers and drive loyalty. By analysing customer journeys, they aim to create targeted strategies that enhance touchpoints from initial awareness to post-purchase satisfaction (Ismail et al., 2011).

On the other hand, HR and organizational development professionals prioritize the internal culture and employee engagement aspects of CXM. They recognize that the employees, especially those on the front lines, are instrumental in delivering the customer experience. Therefore, they emphasize training, development, and aligning the organization's values with customer-centric practices to ensure that every interaction reflects the company's commitment to customer satisfaction (Tracey, 2014).

Operations professionals bring a different perspective, focusing on the efficiency and effectiveness of service delivery systems. Their goal is to ensure that every operational aspect, from logistics to service delivery, is streamlined to support a seamless customer experience. They work on synchronizing processes and optimizing resource allocation to minimize friction and maximize the consistency and reliability of the customer interactions (Grenha Teixeira et al., 2017).

This article aims to offer an explanatory model that explains the reasons behind the differing perceptions of customer insights among CXM professionals across various disciplines. By exploring the impact of distinct ontological stances on the interpretation and application of these insights, the article seeks to provide strategies for overcoming the challenges posed by this diversification, ultimately fostering a more cohesive and effective approach to customer experience management. Recognizing and reflecting on these philosophical orientations can significantly enhance the effectiveness of CX management, ensuring strategies are well-rounded and responsive to customer needs.

Understanding Customer Insights for a better Customer experience management  

Customer insight is a strategic asset that shares VRIO characteristics (i.e., value, rarity, inimitability, and organizational embeddedness) that can generate a competitive advantage (Smith et al., 2006). For example, Smith, Wilson, and Clark (2006) define customer insight as knowledge about customers which meets the criteria of an organisational strength; that is, it is valuable, rare, difficult to imitate and of potential use. Customer insight is found to support the firm’s response to environmental threats and opportunities and helps achieve customer-focused growth (Langford & Schulz, 2006; Smith & Raspin, 2008) as a result of an organization’s understanding of present and future customer behaviour (Macdonald et al., 2012).  

The domain of customer insights can be methodically categorized into several distinct types, as outlined below:

1.  Demographic insights:

These insights relate to the characteristics of customers, such as age, gender, income, and location, that provide a foundational understanding of the consumer base by segmenting it according to statistical characteristics such as age, gender, income, and education level (Smith & Taylor, 2019). This enables organizations to tailor their marketing strategies and product offerings to meet the specific needs and preferences of different demographic groups, thereby enhancing the relevance and effectiveness of their CX initiatives.

2. Attitudinal/psychographic insights

These insights relate to the attitudes and opinions of customers, which capture the subjective dispositions of consumers towards products or services, encompassing beliefs and opinions that can significantly influence brand perception (Clark & Henderson, 2020). An illustrative instance involves the scrutiny of customers' verbal and nonverbal expressions, thereby capturing their affective dimensions, encompassing emotions, moods, and stress (Lu, Cao, Zhang, Chiu, & Fan, 2019). Recent advancements suggest that personality traits like extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience can be inferred through the analysis of user-generated images on social media platforms (Liu et al., 2016; Temkin et al., 2021).

3. Behavioural insights:

These insights relate to how customers interact with the organization and its products or services, such as purchase history, browsing behaviour, and response to marketing campaigns. Procuring these insights necessitates the capability to trace consumers' choices across the customer journey. An exemplar in this realm is Google Analytics, providing real-time insights into consumer interactions with the digital touchpoints owned by a company, facilitated by descriptive big data analytics (BDA). Predictive BDA-powered recommendation systems, as observed in entities like Netflix and Amazon, offer tailored consumer suggestions based on past behaviours, streamlining decision-making and encouraging further consumption (Verhoef, Kannan, & Inman, 2015).  

4. CX Metrics Insights

CX Metrics Insights encompass the aggregate CX levels customers hold towards an organization, its products, or services, ascertainable through methods like customer surveys. As a quantitatively oriented component of CXM, these insights utilize specific evaluative scores—Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES)—to assess the effectiveness of customer experience strategies. Such metrics act as concrete indicators, shedding light on the customer experience's strengths and areas needing enhancement. Through the systematic examination of these metrics, organizations can detect patterns and trends that guide necessary strategic modifications, ensuring CX initiatives are well-aligned with consumer expectations and significantly contribute to the overarching business performance (Keiningham et al., 2007).

5. Journey insights:

These insights relate to the various touchpoints and interactions that customers have with the organization, such as browsing the website, interacting with customer service, or using a product. Journey insights are integral to mapping the consumer's path to purchase, highlighting critical touchpoints and opportunities for enhancing the customer experience (Edelman & Singer, 2015). Pain points insights focus on the challenges and frustrations consumers encounter, offering a direct avenue for improving service processes and product features (Meyer & Schwager, 2007). Satisfaction insights, often quantified through metrics such as the Net Promoter Score (NPS), gauge the overall contentment of consumers with their experiences (Reichheld, 2003).

6. Emotional insights:

These insights relate to the emotional responses of customers during their interactions with the organization, such as feelings of frustration, satisfaction, or loyalty. Emotional insights, for instance, delve into the affective dimensions of consumer behaviour, uncovering the emotional drivers and responses that underpin brand loyalty and purchasing decisions (Thomson, MacInnis, & Park, 2005; Shaw et al., 2010). These insights are crucial for crafting experiences that evoke positive emotions and foster a deeper connection with the brand.

7. Social insights:

 These insights are derived from the rich tapestry of interactions within social media and online communities, offer a window into the public discourse surrounding brands and products. These insights are instrumental in deciphering the complex web of customer relationships and their collective engagement with brands in the digital sphere (Kaplan & Haenlein, 2010). By analysing social media conversations, comments, and shares, organizations can gauge brand sentiment, identify trending topics, and evaluate the reach and impact of their content strategies (Smith, 2013).

8. Market trends insights

These insights relate to broader trends and patterns in the market, such as changes in customer behaviour or preferences, or shifts in the competitive landscape Yield valuable perspectives for organizations to assess their market standing, brand equity, and competitive positioning. Given CX's role as a sustainable competitive differentiator (Homburg et al., 2017), market insights take on heightened importance as they unveil the performance of organizations concerning customer experience within the broader marketplace context. Monitoring and assessing both an organization's and its competitors' brand messages and visuals can unveil consumer sharing patterns on social media (Villarroel et al., 2018). Further augmented by predictive BDA, these insights equip organizations to monitor market shifts and strategies that safeguard their market share (Wedel & Kannan, 2016). Leveraging online keyword search data from platforms like Google Trends offers a strategic tool for marketing intelligence, facilitating the identification and tracking of overarching market trends.

In the realm of Customer Experience Management (CXM), the assimilation and application of a wide array of customer insights—ranging from emotional and demographic to CX metrics and social insights—are crucial for developing strategies that deeply connect with consumers. These insights serve as the foundation for effective CXM, allowing organizations to adeptly address the intricacies of consumer needs and market dynamics. By weaving together these diverse insights, CX professionals are furnished with a holistic toolkit that enhances their ability to tailor customer experiences that are both data-informed and emotionally engaging, securing a competitive advantage in the marketplace. Through the strategic integration of these insights into CXM practices, organizations can craft customer experiences that are both personalized and socially attuned, further enhancing their market position (Hennig-Thurau et al., 2010; Kietzmann et al., 2011; Laroche et al., 2013).

The Spectrum of Ontological Philosophical Stances

The ontological stance of a researcher profoundly influences their approach to understanding customer insights. Ontology, in philosophy, is concerned with the nature of being, existence, or reality. In the context of customer research, it shapes how researchers perceive the social phenomena they study (Bryman, 2007), including customer behaviour and experience.

The ontological aspect relates to how the CX professional perceives the nature of reality, whether reality exists externally to social actors, or whether reality is constructed from the social actors’ perceptions and actions. These two opposed views can be illustrated by contrasting two ontological positions, realism and idealism.

Ontological realism assumes the existence of a mind-independent reality and suggests that the social phenomena exist independently to the observer or their mind, are beyond our reach and influence, and are out there to be discovered (Bryman, 2007).

Ontological idealism, on the other hand, challenges that assumption. The idealist view suggests that social phenomena have no independent existence, and are products of people’s minds (Blaikie, 2010), and are continually being accomplished by social actors (Easterby-Smith et al., 2015).

The ontological spectrum within the philosophical discourse presents a range of perspectives on the nature of reality and our understanding of it, with idealism and realism at two opposing extremes. Below is an exploration of the variations between these two foundational ontologies, encompassing ten distinct stances that range from the empirical to the critical, each offering a unique lens through which to view and interpret the world. These ontological positions, from Empirical Realism, which relies on sensory experience as the basis of knowledge, to Critical Idealism, which emphasizes the synthesis of perception and critical thought, illustrate the diverse ways in which reality can be conceptualized and understood within the context of social research. The following delineation presents:

 1. Empirical Realism: Defined as the philosophical stance that reality is knowable through sensory experience and empirical observation. Often associated with the work of David Hume, who argued that our knowledge is limited to what can be experienced directly.

2. Subtle Realism: This ontology suggests that while reality exists independently of our perceptions, our understanding of it is always incomplete and subject to revision. Martyn Hammersley is a key proponent, advocating for a cautious approach to knowledge claims in social research.

3. Internal Realism: Proposed by Hilary Putnam, Internal Realism posits that while there is an external reality, our perceptions and descriptions of it are filtered through our own conceptual schemes, thus truth is internally constructed.

4. Depth Realism: Depth Realism is the view that there are deeper, often hidden layers of reality that are not immediately accessible to observation but can be uncovered through systematic inquiry. The concept is aligned with the philosophical ideas of Bernard Lonergan, who emphasized the importance of critical realism and the layered nature of knowledge.

5. Critical Realism: A theory that posits the existence of an objective reality independent of human perception, yet acknowledges that our understanding of it is inevitably influenced by social and cultural contexts. Developed by Roy Bhaskar, it bridges the gap between empirical observation and the critical examination of social structures.

6. Subjective Idealism: This philosophy asserts that only minds and mental contents exist, and it is famously attributed to George Berkeley, who argued that objects only exist to the extent that they are perceived by a consciousness.

7. Objective Idealism: A philosophical stance that suggests the existence of an objective reality that is nonetheless shaped by the mind's structures. G.W.F. Hegel is often considered the father of this stance, emphasizing the role of the Absolute Spirit in shaping reality.

8. Transcendental Idealism: Introduced by Immanuel Kant, this ontology holds that our experience of reality is shaped by the transcendental subject, which imposes its own structure on our perception of the external world.

9. Pluralistic Idealism: This perspective acknowledges the existence of multiple, coexisting realities or truths, each valid within its own context. William James is a key figure in this school of thought, advocating for a pragmatic approach to truth and reality.

10. Critical Idealism: Combines the idealist emphasis on the role of perception with a critical approach to knowledge, suggesting that our understanding of reality is a result of critical synthesis of various perspectives. This stance is often associated with Immanuel Kant, who believed that while we cannot know things as they are in themselves, we can critically examine our perceptions and experiences to construct knowledge.

The exploration of ontological perspectives provides a rich tapestry through which the nature of truth and facts can be examined. Ontology, the philosophical study of the nature of being and reality, offers various lenses for understanding how truth is conceptualized and how facts are perceived within different frameworks. This table delineates ten distinct ontological stances, ranging from Empirical Realism to Critical Idealism, each presenting a unique viewpoint on the essence of truth and the nature of facts. Through this comparative analysis, we gain insight into the diverse philosophical underpinnings that influence our comprehension of the world, highlighting the complexity and depth of our quest for knowledge and understanding, as shown in Table 1.

Table 1: Ontological Perspectives: views on Truth and Facts

Ontology	View on Truth	View on Facts
Empirical Realism	Truth is discovered through sensory experience and empirical evidence.	Facts are objective and can be observed and measured.
Subtle Realism	Truth is understood as a close approximation of reality, acknowledging the limitations of our knowledge.	Facts are provisional and subject to interpretation and refinement.
Internal Realism	Truth is a construct within our conceptual frameworks, not an objective correspondence with reality.	Facts are dependent on our internal representations and may vary across different perspectives.
Depth Realism	Truth is a layered concept, with deeper levels of reality that are not immediately observable.	Facts are multi-dimensional and may have underlying causes that are not immediately apparent.
Critical Realism	Truth is what corresponds to reality, acknowledging that our understanding is fallible and can be influenced by social structures.	Facts are real but must be understood within their context and may be obscured by power dynamics.
Subjective Idealism	Truth is a construction of the mind, and reality is subjective.	Facts are personal and based on individual experiences.
Objective Idealism	Truth is an objective ideal, but our understanding of it is shaped by the mind.	Facts are expressions of the underlying objective ideal and are interpreted through mental constructs.
Transcendental Idealism	Truth is determined by the conditions of our perception and cannot be known independently of our experience.	Facts are bound to the conditions of human cognition and are not absolute.
Pluralistic Idealism	Truth is multifaceted and can be understood through multiple, coexisting perspectives.	Facts are diverse and can be understood in different ways, depending on the perspective.
Critical Idealism	Truth is the outcome of critical reflection and the synthesis of different perspectives.	Facts are critically examined constructs that can be challenged and reinterpreted.

The Implications for the different ontological philosophical stances on Understanding Customer Insights  

We will now delve into the profound impact that various ontological philosophical stances have on the understanding of customer insights within the realm of CXM. The exploration is structured around four critical dimensions that are pivotal to leveraging customer insights effectively: firstly, the Utilization of Voice of the Customer (VoC) and CX Systems, which serves as the foundation for gathering and organizing customer feedback; secondly, Harnessing AI Capabilities, which highlights the role of advanced technologies in interpreting complex customer data; thirdly, Analysing and Actioning Customer Insights, focusing on the methodologies for extracting actionable strategies from the data; and finally, Communication and Reporting of Customer Insights, which addresses the challenges and strategies for sharing insights within an organization. Through this structured examination, we aim to illuminate how different philosophical approaches influence not only the perception and interpretation of customer insights but also their practical application in enhancing customer experience strategies.

• Utilization of Voice of the Customer (VoC) and CX Systems

VoC and CX systems are pivotal tools in capturing customer feedback, preferences, and expectations. The utilization of these systems can significantly vary depending on the ontological stance of CXM professionals. Understanding these differences can illuminate the path to optimizing the use of VoC systems across various domains. The table below presents a nuanced exploration of how various ontological philosophical stances—ranging from Empirical Realism to Critical Idealism—affect the utilization of VoC and CX systems. Each stance offers a distinct perspective on the nature of truth and facts, subsequently influencing how customer insights are understood and integrated into CX strategies. This overview aims to illuminate the diverse methodologies and approaches engendered by these philosophical orientations, providing a comprehensive understanding of their implications for CXM practices.

Ontology	Utilization of Voice of the Customer (VoC) and CX Systems
Empirical Realism	Empirical Realists employ VoC systems to gather large quantities of quantitative data, focusing on objective insights and statistical analysis to inform decision-making. They value metrics that correlate with business outcomes and recommend complementing quantitative data with qualitative feedback.
Subtle Realism	Subtle Realists use VoC systems to monitor evolving customer feedback, recognizing the fluidity of customer preferences. They advocate for longitudinal studies and trend analysis to proactively adapt strategies.
Internal Realism	Internal Realists interpret VoC data through their own conceptual frameworks, understanding that insights are context-dependent. They seek diverse perspectives to refine their interpretations of VoC data.
Depth Realism	Depth Realists delve into VoC data to uncover underlying motivations, using advanced tools like text analytics to reveal deeper insights. They focus on the reasons behind customer feedback.
Critical Realism	Critical Realists contextualize VoC feedback within broader social, economic, and cultural factors, integrating external data sources to understand deeper causes behind customer behaviors.
Subjective Idealism	Subjective Idealists prioritize capturing individual, subjective customer experiences through VoC systems, encouraging open-ended survey questions and narrative feedback.
Objective Idealism	Objective Idealists interpret VoC data as reflecting broader truths about customer experiences, ensuring that insights align with established business goals and frameworks.
Transcendental Idealism	Transcendental Idealists design VoC systems to account for the diversity of customer perceptions, shaping feedback mechanisms around the customers' own experiences.
Pluralistic Idealism	Pluralistic Idealists embrace the diversity of customer opinions through VoC systems, recognizing multiple valid experiences and segmenting feedback accordingly.
Critical Idealism	Critical Idealists critically analyze VoC data, synthesizing various perspectives to construct a comprehensive understanding of customer insights and encouraging team debate.

By acknowledging the influence of their ontological stances, CXM professionals can more effectively utilize VoC systems to capture, interpret, and act on customer insights, ultimately enhancing the customer experience and driving business success. For instance, combining Empirical Realism with Subjective Idealism allows CX professionals to balance quantitative data with qualitative narratives, providing a richer, more complete picture of customer experiences. This holistic view is crucial when optimizing touchpoints and journeys or streamlining processes, as it ensures that both the measurable and experiential aspects of CX are considered.

• Harnessing AI Capabilities  

AI tools offer unprecedented opportunities for analysing vast amounts of customer data. By integrating multiple philosophical stances, CX professionals can guide the development and application of AI algorithms to ensure they reflect a comprehensive understanding of customer needs. For example, AI can be used to predict customer behaviours by combining data-driven insights with an understanding of the underlying psychological factors, leading to more effective innovation and product development. The use of AI tools in CXM can be significantly impacted by the ontological stances of CX professionals. Here's how the listed ontologies might influence their approach to AI:

Ontology	Utilization of AI in VoC and CX Systems
Empirical Realism	Professionals leverage AI to analyze large datasets for empirical evidence of customer behavior, aiming for objective insights.
Subtle Realism	AI is used to monitor and adapt to the evolving nature of customer insights, acknowledging the provisional nature of AI's predictive capabilities.
Internal Realism	AI tools reflect the organization's internal conceptual frameworks, with insights interpreted through these lenses.
Depth Realism	AI is employed to uncover deeper, underlying patterns in customer data, focusing on understanding root causes of behaviors.
Critical Realism	AI contextualizes customer insights within broader societal and economic structures to understand the 'why' behind the data.
Subjective Idealism	Professionals may be less inclined to rely on AI, prioritizing individual customer narratives and qualitative insights.
Objective Idealism	AI identifies patterns that align with the organization's broader objectives, interpreting insights through overarching business ideals.
Transcendental Idealism	AI tools are designed to account for customers' cognitive and perceptual frameworks, emphasizing personalized experiences.
Pluralistic Idealism	AI caters to diverse customer segments, recognizing multiple valid customer experiences and truths.
Critical Idealism	AI is critically assessed and used to synthesize insights from various sources for a comprehensive understanding of customer needs

Ontologies such as Subjective Idealism may show some resistance to applying AI extensively, as they place a higher value on subjective experiences and personal customer stories, which AI may not fully capture. In contrast, ontologies that emphasize objective or measurable truths, such as Empirical Realism, are more likely to embrace AI tools for their ability to analyse large volumes of data and uncover patterns that inform CX strategies. Each ontological stance brings a unique perspective to the potential and limitations of AI in enhancing customer experience management.

• Analysing and Actioning of Customer Insights

Analysing and actioning customer insights are deeply influenced by the integration of various philosophical stances. This multifaceted approach is essential for developing strategies that are not only effective but also adaptable to the dynamic nature of customer needs. The table below illustrates how different ontological philosophical stances—from empirical and data-driven to subjective and narrative-focused—shape the way CX professionals understand, analyse, and implement customer insights. By embracing these diverse perspectives, CX professionals are equipped to craft strategies that reflect a comprehensive and nuanced understanding of customer data, ensuring that their efforts in designing new experiences or enhancing business performance are deeply informed and strategically sound.

The understanding and analysis of customer insights, as well as the actioning of these insights, are influenced by the ontological stance of CXM professionals. Here's how the different ontologies might affect these two angles:

Ontology	Understanding and Analysis	Actioning
Empirical Realism	Relies on direct observation and empirical data, favoring quantitative methods.	Implements strategies based on empirical evidence, using A/B testing and data-driven decision-making.
Subtle Realism	Treats customer insights as provisional, focusing on trends and open to re-evaluation.	Favors agile strategies that adapt quickly to new insights and changing preferences.
Critical Realism	Contextualizes insights within broader societal and economic structures to understand the 'why' behind behaviors.	Develops strategies addressing root causes, often involving systemic changes.
Internal Realism	Interprets insights through the organization's internal frameworks, acknowledging the influence of mental constructs.	Aligns strategies with the organization's internal perspectives for coherence.
Depth Realism	Looks beyond surface data to uncover deeper motivations and causes of behaviors.	Designs strategies to address deeper factors, involving profound interventions.
Subjective Idealism	Focuses on individual experiences and narratives, valuing qualitative data and stories.	Develops personalized strategies to cater to individual needs and enhance subjective experiences.
Objective Idealism	Seeks patterns aligning with broader organizational truths within a larger ideal framework.	Develops strategies that reflect and support the organization's overarching goals.
Transcendental Idealism	Understands insights as shaped by customers' perceptual frameworks, emphasizing cognition.	Designs customer-centric strategies adaptable to perceptual and cognitive frameworks.
Pluralistic Idealism	Recognizes the validity of multiple customer truths, advocating for a diverse approach.	Diversifies strategies to cater to different segments and experiences, ensuring inclusivity.
Critical Idealism	Critically assesses and synthesizes insights from various sources for comprehensive understanding.	Develops strategies through synthesis of insights, reflecting multiple perspec

The ontological stance of CXM professionals significantly impacts how they understand, analyse, and act upon customer insights. Each stance brings its own set of principles that guide the process from data collection to the implementation of strategies aimed at improving the customer experience.

• Communication and Reporting of Customer Insights

The communication and reporting of customer insights are critical that are significantly shaped by the ontological stances of CX professionals. The table below presents how ten distinct philosophical perspectives influence the methods and approaches used to convey and document customer insights, ensuring that they are effectively integrated into organizational strategies and decision-making processes. The table explores the implications of different ontological philosophical stances on the communication and reporting of customer insights within the realm of CXM. Each philosophical stance influences how insights are conveyed to and perceived by stakeholders, as well as how they are formally reported within the organization. From the empirical and objective to the subjective and narrative-focused, these stances guide CX professionals in tailoring their communication and reporting strategies to ensure that customer insights are effectively understood and acted upon, aligning with both organizational goals and customer needs.

Ontology	Communication of Customer Insights	Reporting of Customer Insights
Empirical Realism	Focuses on conveying objective, quantifiable data to stakeholders.	Reports are data-driven, emphasizing statistical evidence and metrics.
Subtle Realism	Communicates insights as provisional, highlighting the evolving nature of customer preferences.	Reports include trend analysis and longitudinal studies, suggesting flexibility in strategies.
Critical Realism	Contextualizes insights within broader societal and economic narratives for stakeholders.	Reports integrate customer insights with external data sources to provide a comprehensive view.
Internal Realism	Tailor communication to reflect the organization's internal conceptual frameworks.	Reports are framed within the organization's internal perspectives, ensuring alignment with business objectives.
Depth Realism	Aims to communicate the deeper, underlying motivations behind customer behaviors.	Reports focus on root cause analysis, offering insights into deeper customer motivations.
Subjective Idealism	Prioritizes the communication of individual customer narratives and qualitative insights.	Reports are narrative-focused, emphasizing personal stories and qualitative data.
Objective Idealism	Communicates patterns that align with the organization's broader objectives and ideals.	Reports interpret insights through the lens of overarching business ideals, supporting strategic goals.
Transcendental Idealism	Shapes communication to account for the diversity of customer perceptions and experiences.	Reports are designed to be adaptable, reflecting the perceptual frameworks of customers.
Pluralistic Idealism	Emphasizes the diversity of customer opinions in communication, recognizing multiple valid truths.	Reports segment feedback to cater to different customer groups, ensuring inclusivity.
Critical Idealism	Involves critical assessment and synthesis of various perspectives in communicating insights.	Reports are comprehensive, reflecting a synthesis of insights from multiple sources.

Final Thoughts and Recommendations  

In the ever-evolving landscape of customer experience management, CXM professionals are frequently confronted with diverse challenges, ranging from the design of new customer experiences to the optimization of business performance through predictive insights. To navigate these complexities effectively, it is crucial for CX professionals to integrate multiple philosophical stances, thereby enriching their understanding and enhancing their strategic approaches. This article has highlighted the benefits of such an integrative approach, with a particular focus on the utilization of Voice of the Customer (VoC) systems, the employment of AI tools, and the meticulous analysis and actioning of customer insights.

Acknowledging the diverse ontological perspectives of stakeholders is essential, as these stances can significantly shape the interpretation and valuation of customer insights. CXM professionals must tailor their communication and reporting methods to align with the unique philosophical orientations of each stakeholder group, ensuring that insights are effectively conveyed and valued across the organization. This approach not only bolsters stakeholder engagement but also fosters a more nuanced and comprehensive understanding of customer needs, ultimately contributing to the success of CX initiatives.

To this end, several recommendations have been put forth: integrating multiple perspectives to ensure a holistic understanding of customer feedback, leveraging technology wisely to enhance the human element in understanding customer sentiments, fostering organizational alignment to ensure a unified approach to customer feedback, embracing continuous improvement for iterative enhancements, and prioritizing ethical considerations to build trust and strengthen customer relationships. By embracing these practices, CXM professionals can implement strategies that resonate deeply with customers and drive business success, making the integration of multiple philosophical stances not just a theoretical ideal but a practical necessity for excellence in customer experience management.

1. References

Kasaji, A. (2024) The Role of Artificial Intelligence in actioning Customer Insight to manage Customer Experience throughout the Customer Journey within Service Organizations in Jordan. thesis. Henley Business School, University of Reading.

Blaikie, N. (2010). Designing social research: The logic of anticipation (2nd ed.). Polity Press.

Bryman, A. (2007). ‘The research question in social research: What is its role?’, Social Research,10(1), 5–20.

Easterby-Smith, M., Thorpe, R., & Jackson, P. R. (2015). Management and business research (5th ed.). SAGE Publications.

Edelman, D. C., & Singer, M. (2015). Competing on customer journeys. Harvard Business Review, 93(11), 88-100.

Grenha Teixeira, J., Patrício, L., Huang, K.-H., Fisk, R. P., Nóbrega, L., & Constantine, L. (2017). The MINDS method: Integrating management and interaction design perspectives for service design. Journal of Service Research, 20(3), 240-258. https://doi.org/10.1177/1094670516680033

Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2010). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073

Holmlund, M., Van Vaerenbergh, Y., Ciuchita, R., Ravald, A., Sarantopoulos, P., Ordenes, F. and Zaki, M., 2020. Customer experience management in the age of big data analytics: A strategic framework. Journal of Business Research, 116, pp.356-365.

Homburg, C., Jozić, D., & Kuehnl, C. (2017). Customer experience management: Toward implementing an evolving marketing concept. Journal of the Academy of Marketing Science, 45(3), 377-401. https://doi.org/10.1007/s11747-015-0460-7

Ismail, A.R., Melewar, T.C., Lim, L. and Woodside, A. (2011), “Customer experiences with brands: literature review and research directions”, The Marketing Review, Vol. 11 No. 3, pp. 205-225.

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003

Kasaji, A. (2024) The Role of Artificial Intelligence in actioning Customer Insight to manage Customer Experience throughout the Customer Journey within Service Organizations in Jordan. thesis. Henley Business School, University of Reading.

Keiningham, T. L., Cooil, B., Aksoy, L., Andreassen, T. W., & Weiner, J. (2007). The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share-of-wallet. Managing Service Quality: An International Journal, 17(4), 361-384. https://doi.org/10.1108/09604520710760526

Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251. https://doi.org/10.1016/j.bushor.2011.01.005

Langford, R. and Schulz, K. (2006). Gaining 3-D customer insight to drive profitable growth. Strategy and Leadership. 34 (2). pp. 21-27.

Laroche, M., Habibi, M. R., Richard, M.-O., & Sankaranarayanan, R. (2013). The effects of social media based brand communities on brand community markers, value creation practices, brand trust and brand loyalty. Computers in Human Behavior, 28(5), 1755-1767. https://doi.org/10.1016/j.chb.2012.04.016

Liu, G., Xing, Y., Zhao, H., Wang, J., Shang, Y., & Cai, L. (2016). A deformation energy-based model for predicting nucleosome dyads and occupancy. Scientific Reports, 6, 24133. https://doi.org/10.1038/srep24133

Lu, Z., Cao, L., Zhang, Y., Chiu, C.-C., & Fan, J. (2019). Speech sentiment analysis via pre-trained features from end-to-end ASR models. arXiv preprint arXiv:1911.09762. https://doi.org/10.48550/arXiv.1911.09762

Macdonald, E. K., Wilson, H. N., & Konus, U. (2012). Better customer insight – in real time. Harvard Business Review, 90(9), 102–108

Meyer, C., & Schwager, A. (2007). Understanding customer experience. Harvard Business Review, 85(2), 116-126.

Padilla-Meléndez, A., & Garrido-Moreno, A. (2014). Customer relationship management in hotels: Examining critical success factors. Current Issues in Tourism, 17(5), 387-396. https://doi.org/10.1080/13683500.2012.754411

Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46-54.

Shaw, C., Dibeehi, Q., & Walden, S. (2010). Customer Experience: Future Trends and Insights. Palgrave Macmillan.

Smith, A., & Taylor, J. (2019). Consumer behaviour and analytics. Routledge. https://doi.org/10.4324/9780429489921

Smith, B., & Raspin, P. G. (2008). Creating market insight – How firms create value from market understanding. Chichester: Wiley.

Smith, B., Wilson, H. and Clark, M. (2006). Creating and using customer insight: 12 rules of best practice. Journal of Medical Marketing. 6 (2). pp. 135–139.

Temkin, B., Dorsey, M., & Quaadgras, T. (2021). Global Study: ROI of Customer Experience, 2021. XM Institute. Retrieved from XM Institute

Thomson, M., MacInnis, D. J., & Park, C. W. (2005). The ties that bind: Measuring the strength of consumers’ emotional attachments to brands. Journal of Consumer Psychology, 15(1), 77-91. https://doi.org/10.1207/s15327663jcp1501_10

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181. https://doi.org/10.1016/j.jretai.2015.02.005

Villarroel, J. A., Taylor, J. E., & Tucci, C. L. (2018). Innovation and crowdsourcing: Harnessing the wisdom of the crowd. Research-Technology Management, 61(2), 22-29. https://doi.org/10.1080/08956308.2018.1421383

Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121. https://doi.org/10.1509/jm.15.0413