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This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.

In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.

Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.

This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.

The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.

This study examines the effect of housing environment on residents’ satisfaction and happiness using the data collected from selected residents of Gurugram, an urban locality in India.

Using the convenience-cum-judgmental sampling technique, data was collected from 321 residents of 17 gated private housing estates and tested by performing factor analysis and partial least squares – structural equation modeling.

The results revealed that maintenance service at housing estates significantly influences residents’ satisfaction followed by social infrastructure, dwelling attributes and residential amenities, whereas the accessibility aspect has no significant impact on residents’ satisfaction and happiness. Results also show a significant impact of social infrastructure on residents’ happiness, and most notably, residents’ satisfaction has a significant influence on their happiness.

The findings of this study are likely to provide valuable insight into housing stakeholders (government officials; real estate developers; property and construction professionals, i.e. planners, architects and maintenance managers) to improve the attributes in urban housing setting and neighborhood facilities to upsurge the residents’ satisfaction and happiness level toward the housing estates and townships, which leads to quality and happiness in residents’ life.

According to the authors’ knowledge, the present study is the first to provide an inclusive way toward showcasing the key antecedents of residents’ satisfaction and happiness in the Indian urban housing context. Authors anticipate that future researchers will find present research as a valuable contribution to the residents’ satisfaction and happiness in urban housing planning and revitalization of urban locations.

This study explores the link between the level of importance managers assign to competitive pressures from domestic competition, foreign competition and customers as factors in the key business decisions related to innovation and the outcome of firms' product innovation efforts.

The research sample is taken from the Business Environment and Enterprise Performance Survey by World Bank (2005). The relevant questions for the study were extracted from the survey. Logistic regression models were used for analysis using the ISLR library from R statistical software.

Managers' consideration of customer pressure for innovation as important in key business decisions related to innovation has a positive and sustainable effect, distinct from that of R&D and other innovative activities, on firms' success of product innovation efforts.

The research acknowledges the need to verify the findings in a multicountry setting.

This research can help mediate the managers' assignment of importance to certain types of competition for innovation decisions in multicompetitive environment for improved success of product innovation efforts.

Simultaneous consideration of multiple competitive pressures by managers helps to identify the most suitable innovation activities for their respective firms and improve the chances of success of firms' innovation efforts.

The purpose of this paper is to study the role of psychosocial safety climate (PSC) on job satisfaction and emotional exhaustion among employees and to examine the mediating role of effort–reward imbalance (ERI) in this relationship.

This study investigated a mediation model with ERI explaining the relationship between PSC and the outcome variables using a sample of 441 employees of information technology (IT) organizations in India. The data were analyzed using structural equation modeling (SEM) techniques with LISREL (linear structural relations) 8.72 software.

The results suggest that PSC significantly influences the employees' experiences of job satisfaction and emotional exhaustion. Also, ERI was demonstrated as a significant intervening construct with full mediation of the PSC–emotional exhaustion relationship and partial mediation of the PSC–job satisfaction relationship.

The study provides substantial results and arguments to encourage organizational-level commitment for psychosocial risk management through distributive fairness and reciprocity in the form of ERI to foster positive attitudes and prevent negative health and psychological outcomes. The cross-sectional nature of the study limits generalizability but contributes to the literature on work stress in a developing country's context.

The study demonstrates how employee outcomes like job satisfaction and emotional exhaustion often result from their perceptions of inequity and imbalance at the workplace. Further, the study builds a strong case for helping organizations contribute to the United Nations (UN) 2030 sustainability goals by empirically establishing the crucial role of top management's commitment and prioritization of employee psychosocial health and safety for designing primary stress-management initiatives for sustainable psychosocial risk prevention and management.

This paper aims to examine how servant leaders play an essential role in employee work role performance by assessing the mediating role of knowledge sharing and psychological empowerment.

Data was collected from a sample of 583 employees working in a public sector organization in India. Structural equation modeling has been used to test the proposed model.

The results contribute to new knowledge that servant leadership has a positive link to work role performance. Findings demonstrate that this relationship was partially mediated by knowledge sharing and psychological empowerment. Knowledge sharing has a positive and significant effect on psychological empowerment. Theoretical and practical implications are provided.

By identifying servant leadership as a determinant of knowledge-sharing behavior and psychological empowerment, this paper significantly supplements current research on the process through which leadership influences individual behavior and motivation toward work performance.

The purpose of this paper is to take a micro-foundational perspective to identify the effective leadership style and employee work behavior in achieving the goals of sustainability. It also aims to identify the mechanism through which leaders influence employees’ performance.

The study draws on existing literature for model creation and proposition development to understand the leadership style and employee behavior that would be effective in achieving sustainability goals.

In achieving the multifaceted goals of sustainability, servant leadership style is effective in mobilizing the resources and implementing the sustainability strategies among stakeholders. By enhancing interpersonal trust and psychological empowerment, servant leaders positively influence the work role behavior of the employees. Furthermore, the work performance of employees helps in achieving sustainable development.

This study draws on the theory of micro-foundations to establish how individual-level factors help in realizing the macro goal of sustainability. It throws light on the growing need to cultivate micro-level leadership skills and employee behaviors to have effective organizational sustainability performance. It is imperative for the organizations to be socially responsible along with achieving the business goals.

This study responds to the call of studying micro-level actions in the context of sustainable development. It extends the current knowledge by developing a causal model linking leadership and employee performance through interpersonal trust and psychological empowerment. Moreover, it presents testable propositions linking interpersonal trust and psychological empowerment.

The purpose of this paper is to examine the two alternative theoretical explanations of disengagement at work. Following the job demands-resources (JD-R) perspective, the relationship between job complexity and disengagement is tested. In accordance with the process model of burnout, the association between exhaustion and disengagement is examined. The paper also examines conservation of resources (COR) as an integrative framework as far as the moderating role of resilience in both these relationships is concerned.

Survey-based quantitative methodology was followed. A total of 138 employees of an agro-processing unit in North India were surveyed, and 119 usable responses were obtained. Besides the constructs of interest, the questionnaire also sought responses on the relevant demographic variables.

Both job complexity and exhaustion predicted disengagement at work. However, contrary to a negatively hypothesized relationship between job complexity and disengagement, a positive association was found. Resilience was found to be negatively moderating exhaustion-disengagement relationship. No influence of resilience was found on the complexity-disengagement association.

The findings could be specific to the sample and to India. Caution should be exercised while generalizing. Future researchers should validate the findings across contexts.

The results suggest that complexity may not necessarily be perceived as a resource. Hence organizations must invest in training and skill development programs for their workers. Further, managers should assess resilience as an important component while selecting workers.

Contrary findings vis-à-vis job complexity and disengagement could have implications for the JD-R perspective. Further, this research integrates alternative explanations of disengagement employing the COR framework.

Supply chain management (SCM).

Graduate students.

In recent times, the world market of mobile phone is in a flux due to many phenomena of importance like strong emergence of smartphones, Nokia losing market share in all segments of market and fast technological and supply chain innovation by players like Apple and Google. Elements of SCM and the way technology is acquired have assumed a place of importance to compete in the global market. A new standard of innovation and SCM is emerging together as the rules of market dominance are re-written all-over again.

After completion of the case study, the students will understand: role of technological innovation in high-tech industry and global supply chains in changing the consumer behavior world over; the classic battle for market dominance with a new way of innovation management in technology and processes to create most efficient global supply chains; importance of SCM practices of collaboration like tighter partner integration, use of power asymmetry and contract by dominant players to create efficient supply chains; and how visionaries like late Steve Job are shaping the new era of technology.

Teaching Notes are available for educators only. Please contact your library to gain login details or email: support@emeraldinsight.com to request teaching notes.

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana, India. This study also analyzes the impact of the adoption of RSPV systems on carbon neutrality from a behavioral perspective.

Data was collected using a self-administrated structured questionnaire from 208 male villagers (195 usable) of 22 villages using the purposive sampling technique.

Results revealed that relative advantage, followed by simplicity, trialability, observability and compatibility, positively and significantly impact villagers’ attitude toward adopting RSPV systems in their homes. Perceived severity and perceived vulnerability significantly influence the perceived behavioral control of villagers toward adopting the RSPV systems. The results show villagers’ attitudes, subjective norms and perceived behavioral control are the essential predictors of their adoption intention of the RSPV systems. Most notably, carbon neutrality was significantly affected by villagers’ adoption intention of RSPV systems as the renewable energy source in their homes.

The findings of this study provide that innovation attributes are important factors in shaping the adoption intentions of customers toward RSPV systems. This study is also the extent of previous studies measuring customers’ perception of adopting renewable energy in developed and emerging countries worldwide.

The use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.

The study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.

The results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.

The study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.

Concerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.