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Fast fulfilment is a key performance measure in online retail, and some retailers have achieved faster times by adopting new designs in their order fulfilment infrastructure. This research empirically confirms and quantifies the fulfilment time advantage that Amazon has achieved, relative to other online retailers. The purpose of this paper is to investigate three research questions: what is the overall mean fulfilment time difference between the new logistics designs of Amazon and the alternative designs of other retailers? For each order what is the distribution of the fulfilment time difference? What is the difference in fulfilment time by product category, price and size?

This research uses an empirical method to evaluate the fulfilment time performance of consumer orders made through the Amazon website and one or more competing online retailers. For 1,000 different products two fulfilment times, one at Amazon and another at a competing omnichannel retailer, are recorded. The analysis is then focused on the comparison between this paired data.

The research confirms that the new logistics methods, including physical facilities, distribution networks and intelligent order processing methods, have resulted in faster order fulfilment times. The performance, though, is not universally dominant and for 33 per cent of orders, the difference is 1 day or less. The fulfilment time difference varied by product, category, price or size.

The ongoing transformation of fulfilment and logistics operations at online retailers has generated several new research questions. This includes the need to confirm the fulfilment efficiency of the new designs and specify time targets. This paper identifies the fulfilment time gap between new and traditional operations. The results suggest that store-based or distribution centre-based fulfilment strategies may not match the new designs.

The study provides a quantitative analysis of the fulfilment time differentials in online retailing. The critical role of fulfilment logistics in the rapidly growing online retail industry can now be better modelled and studied. The survey method representing a single buyer allows for order pair equivalency and eliminates order bias. The results suggest that new warehousing and logistics designs can lead to significantly faster fulfilment times.

This study aims to examine the influence of five sports celebrity personality (SCP) attributes – attractiveness, expertise level, credibility, trustworthiness and character – on consumers' purchase intentions (CPI). It identifies celebrity brand congruence (CBC), endorsed brand celebrity (EBC) and transfer of brand image (TBI) as antecedents of CPI.

The purposive sampling technique was used to collect the data from 838 respondents. This study developed a multidimensional construct for SCP. The covariance-based structural equation modeling (SEM) technique was used to examine the relationship between SCP and the endorsed brand. The study used CBC as a mediator and EBC and TBI as partial mediators. The direct and indirect effect of SCP on CPI was investigated using CBC, EBC and TBI as mediators.

This study supports the importance of three antecedents (i.e. CBC, EBC and TBI) on CPI. It finds congruence across SCP and CBC variables, and a positive impact of SCP on EBC and TBI variables. Also, it exhibits a significant direct effect of CBC on EBC and TBI, whereas the direct effect of CBC on CPI is not substantial. The indirect effect of CBC through mediating variables EBC and TBI found to be significant.

This study concludes that sports celebrity endorsement is essential to transfer the positive celebrity image to the endorsed brand image. However, it is not merely sufficient to influence the buyers' purchase conduct; the brand credibility additionally assumes to take a role in changing their behavioral intentions.

This study contributes to the sports marketing literature by its novelty in analyzing the sports celebrity personality at a multidimensional level. It uses SCP's different attributes as one construct and studies its impact on CPI by taking CBC, EBC and TBI as mediators. The results of this study equip sports management professionals with the knowledge to build better long-term relationships with consumers.

The purpose of this study is to develop a novel rectangular linear induction motor as an electromagnetic stirrer (EMS) using analytical followed by a numerical approach. The rectangular linear electromagnetic stirrer (RLEMS) is mainly developed for rectangular slab and billet as the end product.

A two-dimensional analytical approach for evaluating flux density distribution within the mold is established for RLEMS structure. Subsequently, the average stirring force within the mold is estimated from those field variables. The paper presents an analytical and numerical model for calculating the stirring force and counters the end and edge effects of linear-type EMS. Magnetic field and force profile within the mold due to polyphase rectangular stator distribution has been done with the help of Maxwell’s equation with appropriate boundary conditions by using Fourier transform and inverse Fourier transform. Subsequently, a numerical study has been carried out using a coupled thermal and electromagnetic model.

The present study investigates the physical phenomena during the solidification process because of an induced electromagnetic field and is able to extract all the electromagnetic field variables under different operating conditions, and, subsequently, provides an insight into the actual happening within the mold.

It provides the analytical method for solving the stirring force of the proposed new RLEMS structure by addressing the smooth and efficient variation of field and velocity profile near the corner of the mold and improves the quality of end product.

This study aims to explore and comprehend the reasons behind individual investors’ intention towards socially responsible investment (SRI) in the Indian stock market along with examining the validity of the theory of reasoned action (TRA) model to predict such phenomenon in the Indian context.

The TRA has been used as an underlying framework and has been extended by adding four variables, namely, moral norms, environmental concern, financial literacy and financial performance. The study used a self-administered questionnaire and adopted a convenience sampling method for a survey to collect the data from the individual investors from the capital cities of three states of India. Further, the collected data have been analysed using two-step structural equation modelling.

Results of this study indicate a significant impact of attitude, subjective norms, moral norms, financial literacy and financial performance on investors’ intention towards SRI; however, no significant relation was found between environmental concern and investors’ SRI intention. The multiple squared correlation (R²) shows that the final model could explain 71% of the variance in investors’ intention towards SRI, which signifies a successful implementation of TRA model along with new additions to predict investors’ decision-making behaviour for SRI. Moreover, investors are found to be highly concerned primarily about their financial goals and then for their personal obligation towards society as far as SRI is concerned.

This study reports significant and prominent importance of subjective norms in SRI which could be a strategic theme for the government and the policymakers to influence investors through their opinion leaders to promote SRI. The government should also increase its efforts to facilitate financial literacy among citizens.

Using the TRA model and four variables, namely, moral norms, environmental concern, financial literacy and financial performance addition to its original variables, this study extends the understandings of SRI which is perhaps the novelty of this paper because such examination of SRI has not been conducted, especially in the case of developing countries such as India.

The aim of the study was to determine how the different types of resources possessed by a small- and medium-sized enterprise (SME), in conjunction with the environmental uncertainty perceived by the SME's managers, affect SME's alliance formation.

Personal interview method was used to collect responses to a survey instrument from Indian SMEs. Logistic regression technique was used to analyze the responses obtained from 127 manufacturing enterprises.

The study finds that while both tangible and intangible resources possessed by an enterprise positively influence the enterprise's alliance formation, the influence of intangible resources is significantly stronger. The authors also observed the interactive effect between each resource type and environmental uncertainty to be a significant predictor of alliance formation.

The study does not account for temporal effects such as changes in resources and perceived environmental uncertainty, which may affect alliance formation. Similarly, because the data were obtained from a geographically restricted sample, replication of the study in other geographies may be necessary for generalizing the results.

The paper responds to the call for research to link firm resources and perceived environmental uncertainty toward explaining alliance formation by SMEs. The study went beyond making a distinction between the two types of resources by explicating how the interaction of resource type and environmental uncertainty will affect alliance formation.

This paper aims to examine optimal decisions for information security investments for a firm in a fuzzy environment. Under both sequential and simultaneous attack scenarios, optimal investment of firm, optimal efforts of attackers and their economic utilities are determined.

Throughout the analysis, a single firm and two attackers for a “firm as a leader” in a sequential game setting and “firm versus attackers” in a simultaneous game setting are considered. While the firm makes investments to secure its information assets, the attackers spend their efforts to launch breaches.

It is observed that the firm needs to invest more when it announces its security investment decisions ahead of attacks. In contrast, the firm can invest relatively less when all agents are unaware of each other’s choices in advance. Further, the study reveals that attackers need to exert higher effort when no agent enjoys the privilege of being a leader.

In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.

This study reports that the optimal breach effort exerted by each attacker is proportional to its obtained economic benefit for both sequential and simultaneous attack scenarios. A set of numerical experiments and sensitivity analyzes complement the analytical modeling.

In a novel approach, inherent system vulnerability of the firm, financial benefit of attackers from the breach and monetary loss suffered by the firm are considered, as fuzzy variables in the well-recognized Gordon – Loeb breach function, with the help of fuzzy expectation operator.

The purpose of this paper is to map the causal relations among various supply chain flexibility (SCF) dimensions having significant impact on the Indian personal hygiene industry.

The author(s) have gone through extensive literature review and extracted 22 SCF dimensions. After conducting field visits and expert interaction in the firm related to case industry, 11 major SCF dimensions that seem to have a significant amount of influence on supply chain performance of the firms were retained for further consideration. The author(s) have used decision making trial and evaluation laboratory (DEMATEL) to establish initial causality and structural equation model (SEM) to investigate the contribution of different flexibility dimensions on overall SCF.

After DEMATEL analysis, three major SCF dimensions were considered for SEM modeling. The result shows that product flexibility and physical distribution flexibility have favorable influence on the SCF, while the demand management flexibility adversely impacts overall SCF.

The approach adopted in the study can help firms to determine and exercise the flexibility dimensions of a particular supply chain. The DEMATEL and SEM offer a facilitation to explain the causal relationship between the different dimensions to take long-term decisions and address the uncertainty in the demand and supply side.

This paper has made an attempt to evaluate the supply chain flexibilities, prioritize them and evaluate the relationship amongst these flexibilities and the degree to which they affect or are affected by one another in the Indian personal hygiene industry.

This paper aims to fill a gap in the authors’ understanding of alliance-level and the partner-level alliance performance by analysing the influence of behavioural factors for alliances formed by SMEs. Prior studies on the topic have arrived at inconclusive results. This study plugs gaps in prior studies' approach such as deployment of inconsistent performance measures, and omission of contingent factors.

The survey method was used to collect responses about 86 alliances of Indian SMEs. The data were analysed using PLS-SEM technique.

Two relationship capital variables – Trust and Commitment – were found to have differential influence on the two levels of SME alliance performance, and their influence was mediated by the presence of two exchange climate variables – Communication and Conflict.

Since the study employs perceptual measures of performance, it is subject to the limitations of these measures. Similarly, given the relatively small sample size on which analyses were based, the results may need to be replicated in order to generalize the findings.

The study tested a comprehensive model for alliance and partner performance in the context of SMEs. The study's results may be particularly useful to managers of SMEs for focusing on the key factors that influence alliance performance as well as their performance.

The model tested in the study is comprehensive and also accounts for the subtleties about the impact of the two key types of behavioural factors – Relationship capital and Exchange climate – on alliance and partner performance.

Wockhardt Ltd. is a global, research-based pharmaceuticals and biotechnology company headquartered in India. The company went through an ambitious period of growth, mainly using acquisitions as its primary inorganic growth strategy until the 2008 financial crisis. This period saw Wockhardt struggling to meet its financial obligations while at the same time confronting legal and regulatory challenges. Post this period, the company executed several strategic changes to its businesses to facilitate a recovery. The case asks students to assess Wockhardt’s strategic response to the crisis and its future success as a pharmaceutical company in an industry marked by intense competition.

The case is based on secondary data sources and publicly available information. The company’s data and its history over the past six decades have been examined. Newspaper articles, journal articles, company annual reports and analyst firm reports have been used to gather information and have been cited accordingly. Financial data have been obtained from the Centre for Monitoring Indian Economy (CMIE) Prowess database.

The case highlights some interesting findings from Wockhardt’s handling of its financial problems and subsequent recovery process. Key insights come from its multi-pronged strategy to first stabilize and then continue to expand its core pharmaceuticals business by identifying new markets for its products and alternate channels for growth.

Previous cases on Wockhardt have focused on the financial aspects of the crises, particularly the corporate debt restructuring (CDR) process that was undertaken, the challenges of hedging foreign currency risk and the drawbacks of using foreign currency convertible bonds (FCCBs). In this case, we emphasize the unique aspects of Wockhardt’s business strategy, from its initial acquisition-based inorganic growth, its crisis response and management and finally the strategic execution of its recovery and continued expansion.

The aim of this study is to examine the impact of supply chain management (SCM) practices and retail outlet attributes on the performance of organised food retailers in India during COVID-19 pandemic.

Authors conducted empirical research with SCM practices and retail outlet attributes to evaluate the retailers’ performance. The authors present the results from 321 valid responses from the Indian food retailers. The study used structured equation modeling to present the analysis and the results.

The findings of this study reveal that most of the SCM practices (i.e. information technology, level of information sharing, customer relationship, supplier relationship and goal congruence) have a positive impact on performance except the quality of information sharing. The results show that in the time of the pandemic, the retail outlet attributes (image, service quality and convenience) have no significant relationship with the food retailer’s performance while SCM practices are necessary to achieve better performance of the food retailers.

A proactive approach is needed from retailers at the time of pandemic situations to manage the supply chains. The retailers must be extra careful in screening the suppliers for the short and long run. The reason being that in the situation of pandemic, customers might be more demanding and hence, food retailers need to pay special attention to gain growth. It is also required that the policymakers should give importance to the implementation of these SCM practices to be positioned differently.

The research can be valued in terms of its original contribution towards companies in overcoming the disruption caused by COVID-19 to maintain a balance between demand and supply and proposes a completely new theoretical framework. The proposed theoretical model would add value to the existing literature to help the retailers in process of their performance improvement. The study has provided insights for retail organisations, suppliers and government departments to manage their SCs more effectively and efficiently during the pandemic.