Ranjan Chaudhuri, Sheshadri Chatterjee, Sascha Kraus and Demetris Vrontis
This study assesses the capability of artificial intelligence integrated customer relationship management (AI-CRM) technology for sustaining family businesses in times of crisis…
Abstract
Purpose
This study assesses the capability of artificial intelligence integrated customer relationship management (AI-CRM) technology for sustaining family businesses in times of crisis, such as the COVID-19 pandemic. The study also investigates the moderating role of strategic intent in sustaining family businesses in times of crisis.
Design/methodology/approach
The authors used dynamic capability view theory and related literature on family business and technology adoption to develop a conceptual model. This model has been validated using the structural equation modeling technique considering 332 usable responses from people of India involved in family businesses and technology adoption. The study also uses multigroup analysis to examine the moderating role of strategic intent.
Findings
The study finds that adoption of AI-CRM technology significantly and positively impacts dynamic capabilities of the family businesses, such as sensing, seizing and transforming capabilities, which in turn positively and significantly influences their sustainability during crises. The study also highlights the significant moderating impact of strategic intent for sustaining family business firms in uncertain times.
Practical implications
This study has highlighted the importance for family businesses to adopt AI-CRM technology and its influence on their dynamic capabilities. The study also provides important inputs to the management of family businesses regarding adoption of new technologies and their significance during crises. The study also documents that strategic intent could help family businesses to survive during such times. The study is conducted in India and thus cannot be generalized.
Originality/value
This study table is unique in that it investigates the influence of AI-CRM technology and the moderating role of strategic intent on family business sustainability in times of crisis. Moreover, the proposed theoretical model is a unique model with explanative power of 71%.
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Manish Gupta, Priyanko Guchait, Ofra Shoham-Bazel, Naresh Khatri, Vijay Pereira, Shlomo Tarba and Arup Varma
Vijay Pereira, Glenn Muschert, Arup Varma, Pawan Budhwar, Michael Babula and Gillie Gabay
Sheshadri Chatterjee, Demetris Vrontis, Zahid Hussain, Gianpaolo Basile and Rosario Bianco
The purpose of this study is to develop a model for investigating the sharing of harmful messages by employees using social media using the conspiracy theory from a socio-legal…
Abstract
Purpose
The purpose of this study is to develop a model for investigating the sharing of harmful messages by employees using social media using the conspiracy theory from a socio-legal perspective. This study also examines the moderating role of different demographic parameters such as age, gender and education toward sharing harmful messages using social media.
Design/methodology/approach
Using the conspiracy theory and social impact theory as the foundation of this study, the authors developed theoretical model and validated it using the structural equation modeling technique with 342 participants from various organizations across Europe and Asia. The study also used different statistical measures to understand the demographic impacts toward sharing harmful messages.
Findings
It was found that epistemic, existential and social motives significantly and positively influence employees’ inappropriate message-sharing and seeking behavior, which in turn influences them to share harmful messages on social media. The study also indicates that there are some moderating impacts of employee demography toward sharing harmful messages using social media platforms.
Research limitations/implications
This study investigates the antecedents of sharing harmful messages using social media by employees. The present study could be useful for the organizations leaders as well as policymakers and legal fraternity. The study uses a limited number of feedback to validate the model. Also, this is a cross-sectional study which is another limitation of this study.
Originality/value
This study has proposed and validated a theoretical model by using the conspiracy theory as well as the social impact theory which is unique. Moreover, this study adds value to the existing literature on the harmful impacts of social media and its societal impacts. Besides, the validated model of this study has a high explanatory power which is another uniqueness of this study.
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Nic S. Terblanche and Barry J. Babin
There is a paucity of published research regarding service employees’ side of gloomy consequences emanating from value co-creation (VCC). The purpose of this paper is to provide a…
Abstract
Purpose
There is a paucity of published research regarding service employees’ side of gloomy consequences emanating from value co-creation (VCC). The purpose of this paper is to provide a comprehensive overview of the activities and interactions of VCC that can result in negative well-being for service employees.
Design/methodology/approach
This paper is a theory synthesis paper and, as such, seeks to accomplish conceptual integration of multiple theories and literature streams.
Findings
The origins of negative outcomes of VCC are infinite, and for the purpose of this study, the potential triggers of negative outcomes are limited to typical processes and behaviours initiated by VCC of services. For the purposes of this paper, dysfunctional customer behaviour, customer incivility, value co-destruction, boundary-spanning activities, organisational structure and policies and resource integration are investigated as sources of negative well-being for service employees.
Research limitations/implications
The first limitation is the focus on offline transactions. Although the accepted definition of a service ecosystem provides for it to be a “self-adjusting system” a need could emerge for some formal management structure to cope with the increasing complexity of service transactions. A theoretical implication of this paper is that it includes a few lesser researched elements in the context of VCC. A starting point to deal with undesirable VCC interactions is to distinguish between undesirable interaction outcomes that originated inside the firm (own service employees) and those that originated from outside the firm (dysfunctional customers).
Practical implications
A first suggestion on how managers could deal with undesirable VCC interactions is to distinguish between undesirable interaction outcomes that originated inside the firm (e.g. own service employees, firm policies and structure) and those that originated from outside the firm (e.g. customer incivility and dysfunctional customers), as these two types of interaction outcomes require different interventions. Firms will need to bring together, study, analyse and assess all service employee experiences and challenges generated by VCC interactions. The frequency and significance of negative incidents should indicate the amount of effort and time to be spent on types of negative incidents.
Social implications
A challenge for service ecosystems is how they will adjust to comply with novel and traditional non-business objectives in the light of transformational, upliftment and other calls from society, whilst at the same time improving the well-being of the entire service ecosystem (i.e. providers, users and society). The improvement of well-being versus reducing suffering/losses/risks is not an option. The words of Hammedi et al. (2024, p. 159) “we move towards the conceptualization of service ecosystem health as a harmonious state in which private, public and planetary well-being merge” are exceptionally fitting here.
Originality/value
The negative consequences of VCC impact the well-being of service employees and are costly for a firm. Suggestions to prevent or limit the impact of undesirable or harmful consequences are made. This study is of value for service businesses, service academics and society. A greater awareness of the destructive nature of negative consequences of VCC will hopefully transpire from this study.
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Suchismita Swain, Kamalakanta Muduli, Anil Kumar and Sunil Luthra
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships…
Abstract
Purpose
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.
Design/methodology/approach
Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.
Findings
The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.
Practical implications
Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.
Originality/value
At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.