Purpose The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among DCM variables so that retailers can proactively manage their demand chain. Design/methodology/approach The research follows an exploratory research design. It initially involves identification and analysis of influential factors of the implementation of DCM practices through the review of literature. Then, these variables were analyzed using total interpretive structural modeling or TISM followed by a statistical verification and case-based validation of the model. Findings The major findings of the paper are: top-management commitment and support, information management and supply chain agility in supply chain are the most significant enablers with the highest driving power. The other apparel retail specific significant variables are assortment planning, category management and marketing orientation. The model also indicates that the firms that implement customer-centric DCM practices do well in terms of organizational performance and thereby achieve differential advantage over their competitors. Research limitations/implications Because the literature on DCM is still in nascent stage, the study bases itself on interpretive method; that is, TISM of analysis with a limited number of experts. Future studies may consider larger sample with more advanced statistical tools such as structural equation modeling for further validation of the findings. Originality/value The novelty of the paper lies in the study of an emerging supply chain philosophy; that is, DCM and its key practices per se. It has rarely been studied from the theory building perspective hitherto. Moreover, TISM-based approach is applied for the first time to study the DCM practices and its drivers vis-à-vis dependents.
PurposeThe study aims to investigate the consumers' adoption of battery electric vehicles (BEVs) using socio-cognitive perceptions and socio-demographic moderators in an emerging sustainable mobility market.Design/methodology/approachThe conceptual model is analyzed via path analysis using online survey data collected from Indian respondents.FindingsThe findings substantiate to a greater extent the linkage of social-cognitive perceptions-attitude-intention with the moderation of socio-demographic variables and mediation of attitude towards BEV.Research limitations/implicationsThe study advocates several interesting theoretical and policy implications offering guidance to academics, policymakers and corporate professionals to encourage the adoption of BEVs in the milieu of the budding transportation industry.Originality/valueThe study is built upon a social-psychological linkage framework of ‘perceptions-attitude-intention’. Previous studies have overlooked the impact of social-psychological attributes and the socio-demographic moderators in envisaging the adoption of BEV, which largely remained understudied in the Indian backdrop.
In a federal structure, India's determination to much-needed fiscal reforms has been widely applauded at its face value when she relinquished her previous complex and inefficient tax regime to embrace the long-awaited Goods and Services Tax (GST). It has been a significant economic move post-independence and requires validation of facts after its introduction. The present study aims to present a general macroeconomic analysis of the extent to which the adoption of GST has improved existing tax administration and resultant general economic well-being of a democratic political economy like India in light of innovation implementation theoretical perspective. Further, the study tried to determine how the stakeholders perceived such big-bang reform even after the three years of its adoption. The study attempted to assess to what extent the adoption of GST has indeed influenced the economy in general and citizens and/or consumers in particular while using a case-based qualitative inquiry. The present research applied the situation–actor–process; learning–action–performance analysis framework for the case analysis. The facts reveal that India has observed a tremendous increase in tax base vis-à-vis revenue collection. Yet, some efforts are desired to improve the low tax to GDP ratio, skewed GST payers base, negative stakeholders’ perception of GST (revealed through Twitter sentiment analysis), and the evil of tax evasion. The other merits realized by the economy are presented as benefits to the consumers, MSMEs, improved ease of doing business ranking, and foster make-in-India and AatmanirbharBharat move by the government.
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