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Social television (Social TV) viewing of live sports events is an emerging trend. The realm of transformative service research (TSR) envisions that every service consumption experience must lead to consumer well-being. Currently, a full appreciation of the well-being factors obtained through Social TV viewing is lacking. This study aims to gain a holistic understanding of the concept of digital sports well-being obtained through live Social TV viewing of sports events.

Focus group interviews were used to collect data from the 40 regular sports viewers, and the qualitative data obtained is analyzed thematically using NVivo 12. A post hoc verification of the identified themes is done to narrow down the most critical themes.

The exploration helped understand the concept of digital sports well-being (DSW) obtained through live Social TV sports spectating and identified five critical themes that constitute its formation. The themes that emerged were virtual connectedness, vividness, uncertainty reduction, online disinhibition and perceived autonomy. This study defines the concept and develops a conceptual model for DSW.

This study adds to the body of knowledge in TSR, transformative sport service research, digital customer engagement, value co-creation in digital platforms, self-determination theory and flow theory. The qualitative study is exploratory, with participants’ views based on a single match in one particular sport, and as such, its findings are restrained by the small sample size and the specific sport. To extend this study’s implications, empirical research involving a larger and more diversified sample involving multiple sports Social TV viewing experiences would help better understand the DSW concept.

The research provides insights to Social TV live streamers of sporting events and digital media marketers about the DSW construct and identifies the valued DSW dimensions that could provide a competitive advantage.

To the best of the authors’ knowledge, the exploration is the first attempt to describe the concept of DSW and identify associated themes.

The study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction.

By the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire.

The perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that “perceived information quality” was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction.

The research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures.

The conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure.

There remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction.

Innovative restaurant service designs impart food wellbeing to diners. This research comprehends customer aspirations and concerns in a restaurant-dining experience to develop a service design that enhances the dining experience using the design thinking approach and evaluates its efficiency using the Taguchi method of robust design.

The sequential incidence technique defines diners' needs, which, followed by brainstorming sessions, helped create multiple service designs with important attributes. Prototype narration, as a scenario, acted as the stimulus for evaluators to respond to the WHO-5 wellbeing index scale. Scenario-based Taguchi experiment with nine foodservice attributes in two levels and the wellbeing score as the response variable helped identify levels of critical factors that develop better FWB.

The study identified the best combination of factors and their preferred levels to maximize FWB in a restaurant. Food serving hygiene, followed by information about cuisine specification, and food movement in the restaurant, were important to FWB. The experiment revealed that hygiene perceptions are critical to FWB, and service designs have a significant role in it. Consumers prefer detailed information about the ingredients and recipe of the food they eat; being confident that there will be no unacceptable ingredients added to the food inspires their FWB.

Theoretically, this study contributes to the growing body of literature on design thinking and transformative service research, especially in the food industry.

This paper details a simple method to identify and evaluate important factors that optimize FWB in a restaurant. The proposed methodology will help service designers and technology experts devise settings that consider customer priorities and contribute to their experience.

This study helps to understand the application of design thinking and the Taguchi approach for creating robust service designs that optimize FWB.

The emergence of tech-driven initiatives in retail banking has created a vast spectrum of system-related service failures; hence, e-service recovery quality is of prime importance to banks to ensure e-service recovery satisfaction. However, e-service satisfaction is dependent on the ease of moving from one service provider to the other; thus, switching costs assume great significance. This study aims to probe the moderating role of switching cost on e-service recovery satisfaction by exploring e-service recovery quality antecedents.

A measurement model is suggested in the contextual settings of the Indian banking scenario and is estimated using structural equation modeling. Responses from 399 e-banking customers, who had experienced a service failure, were sought using a five-point Likert scale.

The result affirms that “recovery expectation” is the most significant predictor of e-service recovery satisfaction, and that switching cost moderates the relation between e-service recovery quality and e-service recovery satisfaction.

The study highlights the high relevance of switching costs in the e-banking context and emphasizes investment in marketing strategies and campaigns to do away with switching intentions. It also highlights the relevance of recovery expectations as an antecedent of e-service recovery quality and thus stresses the need to satisfactorily address the same in the e-service recovery process.

This study contributes to the e-service recovery satisfaction literature in the banking context by empirically validating the moderating role of switching cost. It also identifies the critical antecedents of banking e-service recovery quality.

This paper aims to analyze the research productivity and impact of the finalists of the AIB best dissertation award, now titled the Buckley and Casson Award, but from 1987 to 2012 the Farmer Award. Specifically, this paper examines whether there is a relationship between winning the best dissertation award and subsequent publication productivity and impact. Relationships between academic institution and institutional geographic location and finalists are also examined.

The paper examines 25 years of citation counts and the number of publications in Google Scholar of Farmer Award winners and finalists of the AIB best dissertation award from inception in 1987 to 2009, with cited publications as a measure of productivity and citations as a measure of impact. Top performers in productivity and impact are identified, and the averages of winners and non-winners are analyzed in aggregate, over time and per year. Data on finalists' institution and geographic location of institution are analyzed to describe the importance of location and institution to the award.

It is found that the overall average citations of the winners of the award is less than that of the non-winners, and that in the large majority of years the non-winners have an average citation count higher than that of the winners. However, taking averages in five year increments shows more mixed results, with non-winners performing better in two periods and winners performing better in two periods, with the remaining period being split as to research productivity and impact.

Aggarwal et al. in this journal summarized a variety of data on Farmer Award finalists from the 1990s to gain insights on institutions represented by finalists, the publication record of finalists, and content of dissertations, among other characteristics. This paper updates some of the insights from that paper by examining data on award winners from 1987 to 2013, and adds further insight by examining for the first time cited publications and citation counts winners and non-winners for the same period excluding the last two years.

The purpose of this study is to explore the effect on distress of senior citizen’s anxiety levels in quarantine during the second wave of COVID-19 pandemic. This is a descriptive study, in which data were collected using the online survey method, a sociodemographic form, a semi-structured data form for second wave COVID-19, the anxiety-level scale and the distress scale.

Data were collected during the period when a curfew was imposed for the senior citizen. Data were analyzed using a structural equation model. According to the structural equation model, anxiety was determined as a predictor of distress.

The anxiety levels of the senior citizen who were 60–69 years old, female, single; had inadequate knowledge about the pandemic; and had not encountered a similar pandemic before considered that family bonding was affected negatively, so they became alone and reported that they became bored, exhausted and distressed during the pandemic, which increased their distress levels. Anxiety affects distress in the senior citizens.

One of the policy implications of this study is that governments should provide behavioral support to citizens during a pandemic. For example, short-term home-based psychological interventions should be developed to reduce the negative effects of the second wave of COVID-19 pandemic on mental health.

The anxiety levels increased distress levels for those senior citizens who considered their information about the second wave of COVID-19 insufficient; had hyper-emotionality; longed for their families; and felt tense, overwhelmed and lonely during the pandemic. In addition, factors such as constraints of flexibilities, prevention of socialization and decreased physical movements also affect distress in senior citizens.

This study focuses on home country institutions as sources of variation in the level of foreign investment into India. Our findings support the idea that institutional voids found in India are less of a deterrent to investments from home countries with high levels of institutional development than from home countries with similar institutional voids. Overall, foreign investments in India are found to be significantly related to the strength of institutions within home countries. The levels of both approved and realized foreign direct investment (FDI) are strongly influenced by economic factors and home country regulative institutions, and weakly influenced by home country cognitive institutions. When considered separately, the cognitive institutions and regulative institutions within a given home country each significantly influence the level of approved/realized FDI into India. However, when considered jointly, only the strength of regulative institutions is predictive of FDI inflows.

The article intended to excavate the Lean Six Sigma (LSS) deployment challenges, Critical Success Factors (CSF), tools and techniques, and managerial implications in an Indian healthcare setting.

The article illustrates a case study established using Action Research (AR) approach. Further, the case study is based on the Define, Measure, Analyze, Improve, Control (DMAIC) phases of LSS. The performance and service quality of the Endodontics department of a dental college attached to a hospital is enhanced and sustained through the LSS strategy.

The processing time of Root Canal treatment is reduced by determining the root causes for delay and implementing sustainable solutions. The structured deployment of the LSS strategy helped the Endodontics department to reduce the processing time from an average of 116 min–84 min. Thus, the process's sigma level is enhanced from 0.06 to 4.17 and assisted in sustaining the results.

The case study's findings are based on the single AR carried out at an Endodontics department of a dental college hospital based on LSS strategies. Even though this study's results cannot be generalized, the deliverables of the case study can be used to develop the LSS roadmap for the dental colleges to enhance the service quality and safety of the patients.

The article provides step-by-step details for implementing LSS in dental college hospitals with critical analysis based on robust statistical tools and techniques. The case study provides evidence of the adoption of LSS in medical college education and provides the confidence to adopt the same through novice users. The study's findings may persuade the policymakers to add LSS in the medical education curriculum to reinforce safety and reduce errors in the healthcare system.

In spite of the fact that literature shows that big data analytics (BDA) pass on a distinct corporate ability, little is thought about their performance impacts, specifically logical conditions. Establishing this research in the dynamic capability view (DCV) and corporate culture and dependent on an sample of 310 Indian production industries, the purpose of this paper is to experimentally study the impacts of BDA on corporate social performance (CSP) and corporate green performance (CGP) using variance-based structural equation modeling (for example, PLS).

A questionnaire was used to accumulate data sets to examine research hypothesis. The authors pre-examined the survey with six scholastics and six directors from production firms in India. With the help of their sources of data, the authors have adjusted their wordings to improve the transparency and guarantee that length of the survey is accurate. Finally, the questionnaire was prepared for definite data collection.

The authors conclude that BDA has noteworthy effect on CSP/CGP. Notwithstanding, the authors did not find proof for directing role of flexible direction and control direction in the connections among BDA and CSP/CGP. This research offers a more nuanced comprehension of the performance ramifications of BDA, and in this way, it is tending to the critical inquiries of how and when BDA can improve in supply chains.

This investigation makes helpful commitments to the BDA research and its effect on CSP/CGP. To the authors’ best of information, this is the first hypothesis-focused approach to clarify the effect of BDA on ecological and social supportability. Second, this investigation likewise gives empirical proof that BDA impact on CSP/CGP and is free of flexible or control direction of the industry.