مدیریت تجربۀ مشتری؛ حوزه‌ها و روندهای پژوهش

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت فناوری اطلاعات، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.

2 استاد، گـروه مدیریت، دانشکده علوم اداری و اقتصـادی، دانشگاه فردوسی مشهد، مشهد، ایران.

3 استاد، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.

4 دانشیار، گروه مدیریت فناوری اطلاعات، دانشکده مدیریت، دانشگاه تهران، تهران، ایران.

چکیده

هدف: در سال‌های اخیر، مدیریت تجربه مشتری به‌عنوان اولویت پژوهشی برای مدیران و محققان بازاریابی مطرح شده است. اهمیت این حوزه تحقیقاتی و توجه به آن در مطالعات بازاریابی، شناخت زیرحوزه‌ها و روند تحقیقاتی آن را ضروری کرده است. این مطالعه با هدف بررسی پژوهش‌های حوزه مدیریت تجربه مشتری، شناسایی مقالات هسته، شناخت زیرحوزه‌ها و روند تحقیقاتی آن صورت گرفته ‌است.
روش: این پژوهش با استفاده از تجزیه‌وتحلیل‌های کتاب‌سنجی، به بررسی حوزه مدیریت تجربۀ مشتری پرداخته است. داده‌های این پژوهش از 124 مقاله منتشر شده در پایگاه داده اسکوپوس جمع‌آوری شدند و روی آنها تحلیل زوج کتاب‌شناختی و تحلیل هم‌رخدادی کلمات کلیدی انجام گرفت و بدین ترتیب، مقالات هسته و زیرحوزه‌ها شناسایی شد. در ادامه با ایجاد نقشه پوششی و میانگین عمر کلمات، روند تحقیقاتی این حوزه مشخص شد.
یافته ها: تحقیقات مدیریت تجربه مشتری در 9 خوشه دسته‌بندی و مقالات هسته این حوزه شناسایی شد. بر اساس یافته‌های این مطالعه مشخص شد که در سال‌های اخیر، موضوعاتی مانند کلان‌داده‌ها، سفر مشتری، کیفیت خدمات، مدیریت ارتباط با مشتری اجتماعی و فروش آنلاین، در تحقیقات حوزه مدیریت تجربه مشتری در کانون توجه قرار گرفته است.
نتیجه گیری: این پژوهش با شناسایی مقالات هسته، زیرحوزه‌ها و روند تحقیقاتی مدیریت تجربه مشتری، از این حوزه دیدگاه منسجمی ارائه می‌دهد و در انتخاب مسیر تحقیقاتی به پژوهشگران کمک می‌کند.

کلیدواژه‌ها


عنوان مقاله [English]

Customer Experience Management; Trends and Areas in Research

نویسندگان [English]

  • Parisa Mousavi 1
  • Fariborz Rahimnia 2
  • Mohammad Mehraeen 3
  • Mehdi Shamizanjani 4
1 PhD Candidate, Department of Information Technology Management, Faculty of Administrative and Economic Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
2 Prof., Department of Management, Faculty of Administrative and Economic Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
3 Prof., Department of Management, Faculty of Administrative and Economic Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
4 Associate Prof., Department of Information Technology Management, Faculty of Management, University of Tehran, Tehran, Iran.
چکیده [English]

Objective
Customer experience management has been regarded as a hot topic for managers and marketing researchers recently. The growing interest in the customer experience area is a result of the increasing complexity of channels, interactions, choices, and customers’ journeys. Thus, companies attempt to meet these challenges by increasing their comprehensive efforts. Organizations typically depict and manage the customers’ experience through customer journeys (including a large number of contact points representing direct and indirect customer interactions with the organization). Given the importance of this area of ​​research, particularly in marketing studies, it is essential to identify the sub-areas and research process. This study aims to review previous studies in customer experience management, identify primary articles, and identify sub-areas and the research process.
 
Methodology
This empirical research uses documentary approach for data collection, and data analysis is conducted based on the bibliometric method. Bibliometric analysis refers to a quantitative research method investigating the research literature from the science development perspective. The required data were collected from 124 articles published in the Scopus database, provided that Bibliographic coupling analysis and co-occurrence analysis of keywords were performed. Hence, primary and sub-domain articles were identified. Then, the research process in this field was determined by creating a cover map and the average life of words.
Findings
Based on the findings of this study, research on customer experience management can be divided into the following nine clusters: cluster 1: branding, brand loyalty, brands and B2B customer experience indicating research efforts dedicated to the relationship between brand concept and customer experience management; cluster 2: customer relationship management (CRM), customer engagement, interactional marketing, social CRM, and social media; cluster 3, including a large number of studies related to customer satisfaction and loyalty: service quality, satisfaction, trust, and loyalty; cluster 4: customer experience and service design, feelings and cultural differences, and service ecosystem ; cluster 5, including a significant amount of research related to customer experience management in the field of retail; cluster 6: customer experience management, customer journey, marketing strategy, Omni-channel, services, and contact points; cluster 7, including research on the integration of customer experience management and information technology: artificial intelligence and macro data; cluster 8: retail branding, self-service, and social environment; and cluster 9, including studies on e-commerce and the core of customer experience management: macro data, customer journey, service quality, social customer relationship management, and online sales.
Conclusion
This study uses a cover map to address different topics such as the application of macro data in customer experience management, customer journey and contact points, online sales, service quality, customer engagement, B2B customer experience, and social customer relationship management. It also addresses various topics such as service marketing, online customer experience, macro data, customer journey, artificial intelligence, customers’ perceived value, online sales, service quality, social customer relationship management, cultural differences, and Omni-channels by analyzing the average life of words. Therefore, the results obtained from both methods emphasize topics like customer journey, the implementation of macro-data in customer experience management, online sales, service quality, and social customer relationship management.

کلیدواژه‌ها [English]

  • Customer experience management
  • Customer experience
  • network analysis
  • Bibliometric analysis
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