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1 – 7 of 7Aruna Divya Tatavarthy and Kanchan Mukherjee
Unlike point of purchase behavior, not much is known about how payment method impacts post-purchase behavior, especially for durable goods where user experience can last over long…
Abstract
Purpose
Unlike point of purchase behavior, not much is known about how payment method impacts post-purchase behavior, especially for durable goods where user experience can last over long periods. The purpose of this paper is to link two strands of literature for the first time by uncovering systematic linkages between the payment method (upfront cash vs loan) used for purchase of durable goods and the replacement timings for the same.
Design/methodology/approach
The authors predict that cash purchases are more likely to have shorter replacement horizons compared to loan purchases and propose a psychological mechanism that accounts for the same. Their arguments are based on how the strength of coupling, which is the degree of psychological association between payment and consumption, depends on the payment method and differentially influences the consumption experience and consequently leads to different replacement horizons. They conduct a field study to test their predictions and find support for their model.
Findings
The authors find that individuals who financed their durable goods purchases using loan, expressed their intentions to replace the goods after longer period than those who financed their durable goods with cash down payment. As loan installments remind people of painful thoughts of payment, they tend to reduce the dissonance by positively evaluating both retrospective and anticipated usage experiences. This dissonance reduction mechanism eventually leads to reduced willingness to let go of the durable.
Practical implications
Marketers are faced with a tradeoff between increasing purchase likelihood versus ensuring long-term post-purchase satisfaction. In this paper, the authors uncover the psychological mechanisms that can explain how payment method chosen to pay for a durable can have direct effect on post-purchase consumption experiences and subsequently in the replacement intentions. This finding is crucial for marketers who are interested in planning the product line launches and other post-purchase engagement strategies such as buy-back scheme and upgrades.
Social implications
Understanding the psychological mechanisms that explain individual’s likelihood to replace their durable goods allows policymakers to design appropriate interventions to induce more sustainable and efficient use of durable goods in the market. While on one hand, marketers might be interested in increasing sales of their product line by inducing faster replacement of older product versions, environmentalists nudge towards the opposite. This paper provides a possible way to achieve the dual objectives.
Originality/value
While past research on downstream effects of payment methods on behavioral outcomes focused only on consumables, the authors focus on durable goods. Further, they identify the effect of payment method on both psychological and behavioral outcomes.
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Kanchan Mukherjee and Divya Upadhyay
This paper aims to explore the psychological antecedents and processes that lead to competitive or cooperative attitudes in conflict management using the lens of construal level…
Abstract
Purpose
This paper aims to explore the psychological antecedents and processes that lead to competitive or cooperative attitudes in conflict management using the lens of construal level theory (CLT). CLT suggests that adopting a distal versus proximal psychological perspective changes the way people think and behave. This research explores the systematic effect of these abstract versus concrete mental construals on preferred conflict management styles.
Design/methodology/approach
First, theoretically grounded hypotheses linking different mental construals to cooperative and competitive conflict management styles were formulated. Subsequently, four empirical studies were conducted to test the hypotheses.
Findings
The studies provide support to the hypotheses showing that high construal abstract thinking is linked to preference for cooperation while low construal thinking is linked to preference for competition. Further, two different psychological processes mediate participants’ preferences for cooperative and competitive conflict management styles, the former mediated by perspective taking and empathic concern and the latter by impulsivity and aggression.
Research limitations/implications
The research measures conflict management styles rather than actual behavior. Also, focus is on trait mental construals rather than priming of high or low construal thinking.
Practical implications
Deeper understanding of the psychology of cooperative and competitive conflict management styles can help parties attain better outcomes and can potentially contribute to training and talent development by educating conflict management practitioners.
Social implications
The findings of this research can potentially inform effective interventions aimed at reducing intergroup conflicts.
Originality/value
Mental construals and related psychological processes are linked to conflict management styles for the first time.
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Pradyumana Khokle and Vaibhavi Kulkarni
The case captures the origin and initial years of two restaurants Mirchi & Mime and Madeira & Mime, which exclusively employed Speech and Hearing Impaired persons (SHI) as servers…
Abstract
The case captures the origin and initial years of two restaurants Mirchi & Mime and Madeira & Mime, which exclusively employed Speech and Hearing Impaired persons (SHI) as servers (often called “waiters” in India). It documents how the restaurants were set up, captures significant incidents during this initial period and the impact of these incidents on the working of the restaurants. Further, it describes the challenge of opening a fine dining restaurant and a gastropub staffed exclusively by SHI persons as servers. The case narrates the reactions and impact on the SHIs and their families, co-workers within the outlets and the customers visiting these outlets. Finally, the case lists the recognition received by the organisation and outlines plans for the immediate future.
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Shefali Singh, Kanchan Awasthi, Pradipta Patra, Jaya Srivastava and Shrawan Kumar Trivedi
Sustainable human resource management (SuHRM), which aims to achieve positive environmental, social and economic outcomes at the same time, has gained prominence across…
Abstract
Purpose
Sustainable human resource management (SuHRM), which aims to achieve positive environmental, social and economic outcomes at the same time, has gained prominence across industries. However, the challenges of implementing SuHRM across industries are largely under-studied. The purpose of this study is to identify the grey areas in the field of SuHRM by using an unsupervised learning algorithm on the abstracts of 607 papers published in prominent journals from 1995 to 2023. Most of the articles have been published post-2018.
Design/methodology/approach
The analysis of the data (abstracts of the selected articles) has been done using topic modelling via latent Dirichlet algorithm (LDA).
Findings
The output from topic modelling-LDA reveals nine primary focus areas of SuHRM research – the link between SuHRM and employee well-being; job satisfaction; challenges of implementing SuHRM; exploring new horizons in SuHRM; reaping the benefits of using SuHRM as a strategic tool; green HRM practices; link between SuHRM and organisational performance; link between corporate social responsible and HRM.
Research limitations/implications
The insights gained from this study along with the discussions on each topic will be extremely beneficial for researchers, academicians, journal editors and practitioners to channelise their research focus. No other study has used a smart algorithm to identify the research clusters of SuHRM.
Originality/value
By utilizing topic modeling techniques, the study offers a novel approach to analyzing and understanding trends and patterns in HRM research related to sustainability. The significance of the paper would be in its potential to shed light on emerging areas of interest and provide valuable implications for future research and practice in Sustainable HRM.
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Rama Pavan Kumar Varma Indukuri, Rama Murty Raju Penmetsa, Srinivasa Rao Chalamalasetti and Rajesh Siriyala
Military and unmanned aerial vehicles (UAV) applications like rocket motor casings, missile covers and ship hulls use components that are made of maraging steel. Maraging steel…
Abstract
Purpose
Military and unmanned aerial vehicles (UAV) applications like rocket motor casings, missile covers and ship hulls use components that are made of maraging steel. Maraging steel has properties that are superior to other metals, making it more suitable for the fabrication of such components. A grey relational analysis (GRA) that is based on the Taguchi method has been utilised in the current study to optimise a laser beam welding (LBW) process. Further aspects such as GRA's optimum ranges and percentage contributions were also estimated.
Design/methodology/approach
A Taguchi L16 orthogonal array is utilised to design and conduct the experiments. Laser power (LP), welding speed (WS) and focal position (FP) are the three parameters are chosen for the process of welding. The output responses are the upper width of the heat-affected zone (HAZup), the upper width of the fusion zone (FZup) and the depth of penetration (DOP). The effect of the above key parameters on the responses was examined using an analysis of variance (ANOVA).
Findings
The results of ANOVA reveal that the parameter that has the most influence on the overall grey relational grade (GRG) is the FP. Finally, metallographic characterisation and a microstructural analysis are conducted on the weld bead geometry to demarcate the zone of HAZ and fusion zone (FZ).
Originality/value
As the most important criteria for LBW of maraging steels is the provision of higher DOP, higher FZ width and lower heat-affected zone, the study intended to prove the applicability of GRA technique in solving multi-objective optimisation problems in applications like defence and unmanned systems.
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