Ayushi Sharma and Rakesh Mohan Joshi
The focus of this study lies in understanding the extrinsic vs intrinsic motivators which drive the m-coupon sharing behaviour in social networking sites (SNSs). A consumer can…
Abstract
Purpose
The focus of this study lies in understanding the extrinsic vs intrinsic motivators which drive the m-coupon sharing behaviour in social networking sites (SNSs). A consumer can make promotional tool (in our case m-coupons) viral if the cues trigger an apt motivation. This study fills the need gap by identifying which motivations must be focused to make a promotional tool viral by the consumer especially in an emerging economy like India.
Design/methodology/approach
We designed conceptual framework based on extensive literature review and employed hierarchal regression methodology to investigate the motivation to share m-coupon.
Findings
Sense of self-worth, Socializing and Reciprocity emerge as strong reasons for a consumer to share m-coupons amongst friends and peers in SNS. Results have shown that intrinsic motivation works very effectively when a consumer shares m-coupons in SNSs.
Research limitations/implications
This study has certain limitations. First, the impact of age, gender and education can also influence the results as perception evolves with age and education. Second, in our study, we have not classified m-coupons in different categories. Different types of m-coupons may have a different impact on consumers.
Practical implications
The paper presents findings, which are useful for marketers to develop a customer-centric viral promotional strategy.
Originality/value
This study is one of the few studies in integrating types of motivation with coupon proneness and coupon sharing in social media. This study has specifically targeted the emerging economy where m-coupons usage has seen a surge. Study has shown that it is the intrinsic motivation which is very crucial for encouraging consumer for participating in SNSs and share e-word of mouth amongst friends and peers.
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Martin Christopher and Hau Lee
Today's marketplace is characterised by turbulence and uncertainty. Market turbulence has tended to increase for a number of reasons. Demand in almost every industrial sector…
Abstract
Today's marketplace is characterised by turbulence and uncertainty. Market turbulence has tended to increase for a number of reasons. Demand in almost every industrial sector seems to be more volatile than was the case in the past. Product and technology life‐cycles have shortened significantly and competitive product introductions make life‐cycle demand difficult to predict. At the same time the vulnerability of supply chains to disturbance or disruption has increased. It is not only the effect of external events such as wars, strikes or terrorist attacks, but also the impact of changes in business strategy. Many companies have experienced a change in their supply chain risk profile as a result of changes in their business models, for example the adoption of “lean” practices, the move to outsourcing and a general tendency to reduce the size of the supplier base. This paper suggests that one key element in any strategy designed to mitigate supply chain risk is improved “end‐to‐end” visibility. It is argued that supply chain “confidence” will increase in proportion to the quality of supply chain information.
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Tuyet-Mai Nguyen and Ashish Malik
Online knowledge sharing is a critical process for maintaining organisational competitive advantage. This paper aims to develop a new conceptual framework that investigates the…
Abstract
Purpose
Online knowledge sharing is a critical process for maintaining organisational competitive advantage. This paper aims to develop a new conceptual framework that investigates the moderating impacts of innovation on self-efficacy, extrinsic and intrinsic rewards on employees’ online knowledge sharing behaviour in public and private sector companies.
Design/methodology/approach
This research analysed 200 responses to test the moderating effects of organisational innovation on the relationship between self-efficacy and rewards and online knowledge sharing behviours. The analysis was carried out using component-based partial least squares (PLS) approach and SmartPLS 3 software.
Findings
The results reveal that self-efficacy significantly affects online knowledge sharing behaviour in firms, regardless of the organisation type. Extrinsic rewards encourage employees in private companies to share knowledge online, whereas intrinsic rewards work effectively in public companies. Additionally, the study found the moderating role of organisational innovation in examining the relationship between rewards and online knowledge sharing behaviour.
Research limitations/implications
Future research may consider different dimensions such as knowledge donating and collecting behaviours as well as motives, such as self-enjoyment, reciprocity or social interaction ties, which may be investigated to get a deeper understanding of online knowledge sharing behaviour.
Practical implications
Firms must tailor training and rewards to suit employees’ abilities and needs so as to align with organisation type and innovation.
Originality/value
The study’s distinctive contribution is the under-researched context of Vietnamese public and private sector banks for investigating the moderating effects of organisational innovation on micro and meso factors on online knowledge sharing behaviour.
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Ansumalini Panda, Srinivas Subbarao Pasumarti and Suvarna Hiremath
Need of the Study: Digitalisation, machine learning, and artificial intelligence (AI) is changing at a swift pace, significantly uplifting the role of information technology. The…
Abstract
Need of the Study: Digitalisation, machine learning, and artificial intelligence (AI) is changing at a swift pace, significantly uplifting the role of information technology. The present human resource (HR) aspect transpires AI-based resolution, are gradually more effective with HR process, time-consumption and a complex tasks surrounded by the HRM functionalities.
Purpose: This study attempts to investigate the adoption and diffusion of human resource management (HRM) with the phenomenon of AI-based applications. Hence, this study has emphasised the predictors of AI adoption like competitive pressure, performance expectancy, top management support, strategic partner, employee champion, etc. Moreover, how the AI predictors are connected with HR practices. The research sample focused on 207 HR managers and senior managers from various industries.
Methodology: This study is based on a quantitative research technique encompassing mean, standard deviation, exploratory factor analysis (EFA), Confirmatory Factor Analysis (CFA), Average Variance Extracted (AVE), and Dependent Variable (DV).
Findings: The study’s empirical findings show that higher performance expectations and higher management support are both major predictors of AI adoption. In contrast, competitive pressure did not show a significant relationship with such an intention, and the ‘employee champion’ role has a negative impact on AI adoption.
Implications: AI diffusion and implementation show a significant research gap. In previous studies, adoption in HRM was overlooked. The study’s results provide a comprehensive picture of the situation. The framework and a major contribution to the study of the phenomenon in relation to its possible role in AI’s effectiveness and quality in HRM. The research inspires a debate among service providers, policy-makers, and stakeholders, and builds an efficient workplace.
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C.K.M. Lee, Danping Lin and Rohan Pasari
The purpose of this paper is to formulate procurement strategies and determine the optimal procurement quantity in order to maximize profit through forward contracting and the…
Abstract
Purpose
The purpose of this paper is to formulate procurement strategies and determine the optimal procurement quantity in order to maximize profit through forward contracting and the spot market.
Design/methodology/approach
The procurement process is modeled at various stages along a time horizon from the perspective of the buyer, with consideration of uncertain yields, stochastic demand and dynamic spot market prices. Monte Carlo simulation based experiments were conducted to figure out the best procurement quantity for five different scenarios. The framework was developed to understand the impact of different uncertain variables on a firm's profit. A case study was carried out in a steel making company in India, with real data.
Findings
The results indicate that the proposed approach enables buyers to achieve higher profits under volatile demand conditions. In the case study, it was found that the profit is higher for the spot market than for contract pricing if there is significant demand and spot price volatility.
Originality/value
This research considers not only demand uncertainty but also supply uncertainty in the procurement process, and profit analysis was carried out to enable an enterprise to set up a procurement plan by using forward contracting and the spot market. This study should also increase awareness in both academia and industry on the opportunities of using the spot market to enhance flexibility and to mitigate risk in the procurement process.
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Abstract
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Yingxia Cao, Haya Ajjan and Paul Hong
The purpose of this paper is to understand the role of post-purchase logistic services on customer satisfaction and future purchase decision, to reveal any differences across…
Abstract
Purpose
The purpose of this paper is to understand the role of post-purchase logistic services on customer satisfaction and future purchase decision, to reveal any differences across China and Taiwan, to fill in a gap in the literature focused on post-purchase logistic activities related to shipping, return, and tracking, to provide managerial guidance in logistics for e-commerce, and to develop insights on logistic services for future research.
Design/methodology/approach
Using a validated survey instrument, 384 respondents in China and 145 respondents in Taiwan are collected. The research model is analyzed using component-based estimation approach to structural equation modeling.
Findings
The structural equation analysis of the study found that post-purchase shipping and tracking have an impact on customer satisfaction in both China and Taiwan. It also found that customer service is the most significant factor among the examined antecedents for online shoppers in China. While, return service is more important for shoppers in Taiwan. Finally, customer satisfaction played a stronger positive role for online shoppers in Taiwan as compared to their counterparts in China.
Research limitations/implications
This research extended the current literature about post-purchase logistic services in an online shopping environment with a literature-based research model and good empirical data support. However, one limitation of the study is that the data collected represents a cross-sectional sample; future research should examine longitudinal sample to study customers’ purchase intentions over time.
Practical implications
This study can help both scholars and practitioners understand the importance of tracking, return, shipping, and customer service in an online shopping environment and across countries. It provides insights on designing e-commerce relevant shipping services to satisfy and attract customers across countries.
Originality/value
The study investigated how post-purchase activities contributed to customer satisfaction in online shopping and explored the influence of customer satisfaction on future purchase intention in China and Taiwan. This is one of the first studies available in the literature to provide empirical support and managerial insights about post-purchase activities related to shipping, tracking, and returns for e-commerce with cross-regional comparison.
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Muhammad Farooque, Abraham Zhang and Yanping Liu
This paper aims to identify and systematically analyze the causal-effect relationships among barriers to circular food supply chains in China.
Abstract
Purpose
This paper aims to identify and systematically analyze the causal-effect relationships among barriers to circular food supply chains in China.
Design/methodology/approach
Grounded in multiple organizational theories, this paper develops a theoretical framework for identifying relevant barriers to integrating circular economy philosophy in food supply chain management. The study uses 105 responses from Chinese food supply chain stakeholders including food processors, sales and distribution channels, consumers and government officials. It applies a fuzzy decision-making trial and evaluation laboratory (DEMATEL) method to examine the causal-effect relationships among the identified barriers.
Findings
Overall, the results suggest two key cause barriers: first, weak environmental regulations and enforcement, and second, lack of market preference/pressure. Meanwhile, lack of collaboration/support from supply chain actors is the most prominent barrier. The key cause and prominent barriers are also identified for each of the supply chain stakeholder involved.
Research implications
The study offers practical insights for overcoming barriers to integrating circular economy philosophy in the management of supply chains in the Chinese food sector, as well as in other contexts where similar challenges are faced. It also sheds light on which organizational theories are most suitable for guiding similar studies.
Originality/value
To the best of the authors’ knowledge, this is the first barrier study on circular food supply chains. The use of multiple organizational theories for the development of the theoretical framework is unique in barrier studies. The study offers insights from multiple stakeholders in the Chinese food supply chains.
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Ramin Rostamkhani and Thurasamy Ramayah
This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management…
Abstract
This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.