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The purpose of this paper is to empirically examine the impact of supply chain risks (SCRs) and demand management strategies (DMSs) on the company performance in order to study the use of DMSs in delivering improved results even in the presence of SCRs. The SCRs considered under the study are as follows: demand variability, constrained capacity and quality of services delivery, and competitive performance, customer satisfaction and financial performance are the measures considered for company performance.

This study is based on a survey of 439 businesses in India representing 10 groups of services industries (information technology/IT enabled services, business process outsourcing, IT infrastructure, logistics/transportation, healthcare, hospitality, personal services, consulting, education and training, consumer products and retail), using structural equation modeling (SEM) methods.

The findings reveal that presence of demand variability risk has significant influence upon the use of demand planning and forecasting, controlling customer arrival during peaks and shifting demand to future. Mismatch of capacity against demand (unused capacity) leads to the use of techniques to influence business during lean periods, thereby resulting in enhanced supply chain (SC) and financial performance. Controlling customer arrival during peaks to shift the demand to lean periods leads to enhanced financial performance. Presence of delivery quality risk does not significantly influence the use of DMS. Also, short-term use of customer and business handling techniques does not exert significant influence on company performance.

The study has limitations as follows: (1) respondents are primarily from India while representing global organizations, (2) process/service redesign to relieve capacity as a DMS is not considered and (3) discussion on capacity management strategies (CMSs) is also excluded.

SC managers can be resourceful in shifting the peak demand to future with the application of techniques to control customer arrival during peaks. The managers can also help enhance business by influencing business through offers, incentives and promotions during lean periods to use available capacity and improve company performance.

This study is one of the first empirical works to explore how presence of SCRs influences the use of DMS and impacts the three types of company performance. The study expands current research on demand management options (DMOs) by linking three dimensions of company performance based on the data collected from ten different groups of service industry.

The hotel industry suffers from retaining its employees, and to retain their employees is a big challenge to the hotel industry. So, the purpose of this study is to examine the causal relationship between workplace design features of hospitality industry with employee job satisfaction and their intent to stay through empirical validation.

As per the objective of the study, three hypotheses were proposed based on a comprehensive literature review on workplace design features of the hospitality industry. The proposed relationships were examined by using structural equation modeling approach with AMOS 18 as prescribed by Hair et al. (1998).

Significant evidence was found in favor of proposed hypotheses. The result of hypothesis testing showed workplace design features of hospitality industry to positively influence employee’s intent to stay through job satisfaction.

While the employee satisfaction and commitment has been a significant research topic for more than decades, barely any research has been conducted that focuses specifically on workplace design features of a hospitality industry. This study tries to make a link between workplace design with the employee intent to stay through employee satisfaction. These links are rare from an Indian perspective.

The purpose of this study is to investigate the challenges before India for electric vehicle (EV) adoption by 2030. The study further looks into the measures taken by the Government of India (GOI) to promote research and development in EV sector and what is yet to be done.

In the present study, the challenges are identified allied to the commercialization of EVs in India. The data are collected, analyzed and compiled through secondary sources. The secondary data give a concise insight and comprehensive information regarding what is occurring around the globe as well as in the Indian context. Further, the challenges are investigated through a focus group study consisting of 11 participants from industry and academia.

The findings from the study are the critical roles of sharing economy and public utilities in the promotion of EV adoption, given the high cost of EV, lack of infrastructure and poor purchasing power of Indian customers. The sharing economy perspective provides various opportunities for the government to manage the resources (electric-powered transport system) optimally. Further, the study compares the global perspective in assigning the target figures.

The study highlights the facilitating role of the shared format in EV technology promotion but ignores the hurdles that can come in its implementations. Also, the focus group study has its limitation as it relies more on participants' perceptions and opinions.

The present study assists GOI and various stakeholders in having a realistic plan rather than daydreaming with overambitious goals. The diffusion of technology as a shared format (especially in the context of EV) has not been academically approached in the past literature.

The purpose of this paper is to examine how environmental design features of a green building contribute to the formation of employees’ organization image (OIM) through better environmental awareness (EAW) within employees.

Based on a comprehensive literature review on environmental design features of a building, a theoretical model was proposed for investigation. Three putative paths linking workspace (WSP) to EAW, departmental space (DSP) to EAW and EAW to OIM were then tested relying on a survey data of 362 employees collected from three Leadership in Energy and Environmental Design certified buildings by using structural equation modeling methodology as prescribed by Hair et al.

Significant evidence was found in support of all three purposed paths. Further, the study found that workspace and the DSP together explained around 46 percent of the variance in employee’s EAW, which then explained around 54 percent of the variance in the formation of the employees’ OIM.

The study drew data only from green certified organizations. Future research should involve other green organizations or a larger sample of green buildings. The size and character of the sample were restricted by organizational constraints.

The organizations need to be extremely cautious of green concerns during the design phase in order to capitalize on the yields of better employees’ OIM. It also motivates the other organizational group toward the green building concept to increase the employees’ EAW and to enhance organizational values and image.

While the green concept has been a significant research topic for more than decades, barely any research has been conducted that focuses specifically on environmental design features of a green building on employees’ EAW and OIM. This study tries to make a link between green building design features with employees’ EAW and OIM. These links are rare in Indian perspective.

The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.