Search results

The purpose of the study is to identify the key antecedents relating to the interaction design of the e-groceryretail mobile applications and offer innovative marketing interventions to facilitate consumer–brand interaction and generate continuous usage intention.

Data were collected from the subjects using a personally administered questionnaire by adopting a non-probability method. The target respondents of this study were individuals who are users of smartphone and have purchased groceries through mobile applications at least once in two months. On the basis of responses received, a sequential predictive analytic method that includes structural equation modelling (SEM) and artificial neural network (ANN) techniques were employed.

The findings of the study highlighted the critical role of collaboration design in harbouring satisfaction and maintaining a regular clientele for e-grocery applications by confirming the presence of complementary mediation. Such validated proposition and tested research model backed by significant methodological rigour advances the research based on post-acceptance behavioural affordances in interactive marketing literature.

The study endeavours to understand users' post-acceptance behaviour by analysing the contemporary factors relating to the interaction design of the platform in terms of mobile application attributes that would drive user patronage intentions. Further, the study highlights the pioneering role of collaboration design for e-grocery retailers, as the recent alliances among strategic players to achieve synergistic business leadership have proven to be a game-changing evolution in the industry.

This study focusses on the intersection of social sustainability and human resource management (HRM) as a strategy for crisis management. It aims to provide detailed insight by exploring the associations between socially sustainable HRM (SSHRM), employee well-being, trust in social capital and employee resilience.

This study used a cross-sectional research design to test relationships amongst variables. Data was gathered from employees in India’s private-sector information technology (IT) industry, making the framework relevant to this specific context. The study employed the partial least squares structural equation modelling (PLS-SEM) to analyse complex relationships between the variables.

The results indicate that organisations can boost employee resilience through SSHRM implementation, promote personal well-being (PWB) and family well-being (FWB) and foster trust in social capital. Additionally, the study highlights the moderating impact of employee empowerment, improving the translation of positive employee behaviour in organisational settings.

Our research emphasises the importance of sustainability efforts and strategies focused on social capital to build long-lasting employee connections. This highlights the necessity of incorporating social sustainability objectives into the organisation’s strategic blueprint, ensuring integration into decision-making procedures.

This study uniquely explores the underlying mechanisms through which SSHRM influences employee resilience. An in-depth empirical analysis evinces the causal mechanism between SSHRM, employee well-being, social capital trust and employee resilience.

This study aims to identify articles examining human-robot interaction and the effects of robotic systems on employment.

In this research, electronic searches were performed for articles published between 2000 and 2022 in Emerald, Springer, PubMed, Science Direct, Wiley and Google Scholar. In the searches of robotic systems with keywords such as “motivation, job satisfaction, job loss, performance, job giving,” 5 quantitative and 5 qualitative studies were included in the systematic review. The selected research was conducted using the Johanna Briggs Analytical Cross-Sectional Studies Checklist from the Joanna Briggs Institute (JBI) critical evaluation lists and the JBI Critical Appraisal Checklist for Qualitative Research, depending on their type. The included studies are mostly on employee-robot collaboration.

Although the majority of the articles examined in this study are included in keywords or titles, it is determined that there is a gap in descriptive quantitative studies in the literature on the effects of employee-robot collaboration, robotic systems and robotic systems on variables such as motivation, job satisfaction, job loss, performance and employment, although they do not mention a framework that directly investigates human-robot interaction and the effects of robotic systems on employment.

There are several limitations in this study. One of them is that, although the databases are comprehensively scanned, only studies published in English between 2000 and 2022 are included in the systematic review. Another limitation is the heterogeneity between studies.

As a result of the authors’ findings, the practical effects of the research are reflected as follows: It serves as a guide for future studies to fill the gap in the field, especially for academics and researchers working in the field of social sciences on robotic systems and intelligent automations. In addition to the qualitative studies on this subject, there is a need for the use of robotic systems in the field of human resources and management and quantitative studies with more sample sizes, especially at the corporate (firms) and individual (employees) level. Considering that the number of studies on this subject is very insufficient, this research is important in terms of shedding light on future studies.

The authors believe that the impact of robotic systems on employment is one of the few conceptual articles that systematically examines 6 dimensions (job satisfaction, performance, job loss, employment, motivation, employment).

This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.

A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.

The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.

This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.

Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.

The purpose of this study is to explore the mist-air film cooling performance on a three-dimensional (3-D) flat plate. In mist-air film cooling technique, a small amount of water droplets is injected along with the coolant air. The objective is to study the influence of shape of the coolant hole and operating conditions on the cooling effectiveness.

In this study, 3-D numerical simulations are performed. To simulate the mist-air film cooling over a flat plate, air is considered as a continuous phase and mist is considered as a discrete phase. Turbulence in the flow is accounted using Reynolds averaged Navier–Stokes equation and is modeled using k–e model with enhanced wall treatment.

The results of this study show that, for cylindrical coolant hole, coolant with 5% mist concentration is not effective for mainstream temperatures above 600 K, whereas for fan-shaped hole, even 2% mist concentration has shown significant impact on cooling effectiveness for temperatures up to 1,000 K. For given mist-air coolant flow conditions, different trend in effectiveness is observed for cylindrical and fan-shaped coolant hole with respect to main stream temperature.

This study is limited to a flat plate geometry with single coolant hole.

The motivation of this study comes from the requirement of high efficiency cooling techniques for cooling of gas turbine blades. This study aims to study the performance of mist-air film cooling at different geometric and operating conditions.

The originality of this study lies in studying the effect of parameters such as mist concentration, droplet size and blowing ratio on cooling performance, particularly at high mainstream temperatures. In addition, a systematic performance comparison is presented between the cylindrical and fan-shaped cooling hole geometries.

This study aims to explore and synthesize the role of knowledge management (KM) in tourism organizations (including micro, small, medium and large enterprises and destination management organizations).

This study adopts systematic review methods to synthesize the role of KM in tourism from 90 journal articles.

This study identifies the prominent theories adopted to explore the relation and impact of KM in the tourism sector, the geographic distribution of the literature and thorough qualitative synthesis. This study identifies the critical research themes investigated and the outcome of KM applications. Finally, through reviews, this study identifies critical gaps in the literature and offer promising avenues to advance the KM in tourism research.

This is one of the few papers that comprehensively review the role of KM in the tourism industry and offer implications.

The purpose of this paper is to check the reliability and validity of a well-acknowledged scale developed by Pratibha A. Dabholkar (1996) in the context of Indian organized grocery retail and also to identify new aspects of service quality with respect to grocery retail from literature that have not been taken into account in earlier studies and to finally develop a new scale to measure service quality of organized retail grocery stores with consultation from several experts.

In order to achieve the objectives of the research, both descriptive and exploratory research designs have been employed such that a survey of 800 respondents was undertaken as part of descriptive research whereas exploratory research was conducted to add new dimensions to the existing service quality measurement model so as to develop a new comprehensive scale.

The results of the study suggest that all the five dimensions of Dabholkar’s model are not suitable to measure service quality in Indian organized grocery retail stores. Therefore, a new instrument with total four dimensions has been developed.

The study is of great importance for the retailers as it offers a more comprehensive and specific scale to measure service quality of organized grocery retail stores.

This research supports and makes contribution to the previous research on development of service quality measurement scales in Indian context.

The study aims to define the term “generation” by proposing an integrated design based on age-period-cohort effects and by proposing an Indian generational cohort framework categorizing Indian generational cohorts into four categories, namely, Baby Boomers, GenX, GenY, and GenZ. The study further aimed to capture the existing generational differences between GenY and GenZ cohorts in the Indian teams on team climate, transactive memory system, and team leader humility.

For the first two objectives a literature review methodology along with the author's proposition was adopted. An integrated design was proposed by reviewing the relevant sociological literature to define generations. Thereafter, an Indian cohort framework was proposed categorizing them into four groups Baby Boomers, GenX, GenY, and GenZ. Following that, for the last objective, i.e. to identify the differences between cohorts, empirical data were collected by a structured questionnaire that was disseminated to GenY and GenZ Indian working professionals. A total of 229 responses were used for observing the differences or similarities between GenY and GenZ cohorts on the study variables by employing an independent samples t-test.

The study proposed an integrated design (age, period, and cohort effect). Following that, an Indian generational cohort's framework has been outlined categorizing Indian cohorts based on their birth years, age groups, developmental stages, formative years, major Indian historical events, and various characteristics possessed by them. Moreover, the empirical findings support the existing generational disparities and depict that GenZ holds a higher inclination towards transactive memory systems and team climate whereas GenY holds more inclination toward leader humility.

The study put forth its contribution to research scholars by categorizing Indian generational cohorts in a rationalized manner based on an integrated design (age-period-cohort) effect. The study would further assist concerned authorities and managers in formulating HR policies to deal with the underlying generational differences highlighted by the study.

As there lies a paucity of generational frameworks in the Indian context, this study is the first attempt in this direction which categorizes Indian generational cohorts based on a unique integrated design including age-period-cohort effects. In addition, the study also investigated these cohorts in Indian organizations to observe the existing variations.

The study intends to examine the generational differences between GenY and GenZ Indian generational cohorts on the study variables, i.e. core self-evaluations (CSE), team cohesion, organizational culture and team performance. Further, the present research aims to analyze the impact of CSE, team cohesion and organizational culture on team performance as antecedents.

The study has adopted a descriptive cross-sectional survey method where the data were collected from Indian working professionals who belonged to GenY and GenZ generational cohorts. Further, a total of 370 responses were received, and thereafter, the data were analyzed by employing significant statistical tests such as exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and an independent samples t-test.

The study results revealed that GenY and GenZ cohorts significantly differ on CSE, team cohesion and organizational culture. However, no significant difference was reported in team performance between these two generational cohorts. Also, the study results disclosed that CSE, team cohesion and organizational culture positively influence team performance by acting as its determinants.

The study reports differences between GenY and GenZ that would assist managers in effectively dealing with these generational cohorts and formulating human resource (HR) policies that can accommodate the needs of these two cohorts. Additionally, the study benefits managers by highlighting the importance of core-self evaluations, team cohesion and organizational culture to enhance team performance.

Existing research depicts that there lies a paucity of generational studies in the Indian context. The present study attempts to address this lacuna by putting pioneering efforts into this field. The main contribution of the study lies in empirically investigating the Indian generational cohorts (GenY and GenZ) in the organizations. Further, the study has also conceptualized and examined a team performance model by considering factors at three levels (individual, team and organization).

This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h₂) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.