Search results

This paper aims to identify challenges in a first attempt at teaching the Youth Lens in a secondary English classroom in South Korea.

This paper includes the author's observations of a senior English class in an international school in South Korea.

The author advocates that intersections of time, geography and culture have a significant influence that cannot be ignored when teaching about adolescence. Additionally, when bringing a Youth Lens into the classroom teachers need to be prepared to fully embrace its embedded questions of power between youth and adults.

This paper extends existing academic conversation on a Youth Lens to include both an international setting and instances in which the teacher is not of the majority demographic in the classroom.

The purpose of this paper is to reveal the impact of the e-tailers’ product variety decisions on their logistics service quality (LSQ) in B2C e-marketplaces. Furthermore, it investigates the mediation of transaction intensity and the moderation of the perceived technical quality in this relationship.

The data were collected from one of Turkey’s biggest e-marketplace firms, N11.com. Consumer evaluations and the e-tailers’ product offers were used to operationalize research variables. Structural equation modeling was used to test the research hypotheses.

Product variety increases the sales of e-tailers but negatively affects their LSQ. This negative effect does not stem from the operational complexity resulting from increased sales; on the contrary, transaction intensity actually suppresses the negative effect of product variety on LSQ. This study additionally reveals that the perceived technical quality weakens the negative impact of product variety on LSQ.

The intense competition in e-marketplaces makes LSQ a key competitive factor, highlighting the importance of revealing its determinants. Although the negative effect of product variety on operational performance has been revealed in manufacturing and physical retailing environments, it has been under-investigated in online retailing. Drawing on a knowledge-based view, this study reveals how product variety decreases LSQ in the online context despite its unique features (i.e. temporal and spatial separation). Moreover, by demonstrating that the delivered product’s instrumental performance affects the perceived LSQ, it reveals that technical quality and functional quality are not disjoint components in online purchases.

The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

While remanufactured products represent an increasingly researched phenomenon in the literature, not much is known about consumers' understanding and acceptance of such products. This study explores this issue in the context of the theory of perceived risk (TPR), investigating return policy leniency and distribution channel choice as potential factors to foster remanufactured products' sales.

This research utilizes an experimental design composed of a pre-test and a scenario-based main experiment to explore how return policy leniency might mitigate consumers' perceived risk and how their related purchase intention differs across two types of retail distribution channel structures (i.e. brick-and-mortar vs. online).

The investigation into the efficacy of return policy leniency within two retail distribution channel settings (i.e. brick-and-mortar vs. online) illustrates that providing a lenient return policy is an effective “cue” in increasing consumer purchase intention for remanufactured products. While prior literature has established that consumers value return policy leniency for new products, the authors provide empirical evidence that this preference also applies to remanufactured products. Notably, that return policy preference holds true in both channel settings (i.e. brick-and-mortar vs. online) under consideration. Additionally, and contrary to the authors’ predictions, consumers perceived remanufactured products sold via both channel settings as equally risky, thus highlighting that both are appropriate distribution channels for remanufactured products. Finally, while research on new products provides some initial guidance on consumer perceptions of quality and risk, the study provides empirical evidence into the difference of perceived risk with regard to new versus remanufactured products.

By employing the TPR, this research explored the role played by two supply chain management related factors (returns policy and channel structure) in reducing consumer's perceived risk and increasing purchase intention. In doing so, this study answers the call for more consumer-based supply chain management research in a controlled experimental research setting.

The purpose of this paper is to examine the customer decision-making journey of high involvement female fashion consumers in the context of omnichannel fashion retailing.

The research is qualitative in nature, using a multi-method approach consisting of focus groups, semi-structured interviews, online diaries and follow-up interviews, with grounded theory applied to analyse the data.

The results of the study include a framework to outline the stages of the omnichannel customer decision-making journey for young high involvement female fashion consumers. The findings also reveal that an omnichannel decision-making journey is the one that predicated on risk and that consumers employ specific strategies to avoid such risks.

Due to the nature of this research, the sample size is limited and may not be generalised. Data collection was confined to Manchester, UK.

Customer journey mapping enables practitioners to view the entire shopping experience through the eyes of the customer and enables retailers' fault-find issues within the customer and brand experience.

The paper advances knowledge about fashion and consumer behaviour. The customer decision journey framework maps the emotional experiences, devices and channels encountered by high-involvement fashion consumers across each stage of the omnichannel journey.

Since the emergence of e-commerce uprooted traditional brick-and-mortar retail in the early 2000s, many retailers have reacted by first independently servicing both the online and in-store channels (multichannel retailing) and subsequently integrating both channels to provide a seamless front-end customer interface (omnichannel retailing). Accordingly, firms had to adjust their logistics and supply chain management (SCM) processes from fulfilling orders for each channel separately to integrating channels on the back-end (omnichannel fulfillment). This development is mirrored by an emerging stream of academic publications. The purpose of this paper is to provide a snapshot of the current state of omnichannel fulfillment research via a systematic literature review (SLR) in order to identify omnichannel fulfillment strategies and to establish an agenda for future inquiry.

This SLR is based on 104 papers published in peer-reviewed journals through December 2018. It employs a six-step process, from research question to the presentation of the insights.

All selected manuscripts are categorized based on demographics such as publication date, outlet, methodology, etc. Analysis of the manuscripts suggests that the integration of fulfillment channel inventory and resources is becoming an important objective of fulfillment management. Appropriate omnichannel strategies based on retailer attributes are not well understood. Industry specific research has been conducted necessitating generalized extension for retailers. These findings provide a clear opportunity for the academic community to take more of the lead in terms of knowledge creation by proposing paths for industry pursuit of channel integration to successfully implement omnichannel fulfillment. Opportunities for future inquiry are highlighted.

This manuscript proposes a definition of omnichannel fulfillment strategies and identifies fulfillment links that are used interchangeably across channels as the key delimiter between omnichannel fulfillment strategies and related concepts. Six omnichannel fulfillment strategies from the extant literature are identified and conceptualized. Future research opportunities around omnichannel fulfillment, potential interdependencies between the established strategies and their impact on related SCM issues such as distribution and reverse logistics are detailed.

Research has demonstrated that varying degrees and combinations of individual traits, behaviors and characteristics influence the emergence of leaders in teams. While existing models have shown that such variables affect leader choice independently and interactively, the overall findings suggest that there is still a lack of research on a potentially significant factor, the impact of personal reputation on leader selection in autonomous work teams (AWTs), an increasingly ubiquitous team practice in organizations. This preliminary review thus aims to offer a general overview of personal reputation and its effects on leader emergence in the context of AWTs.

By surveying extant literature on team leader emergence, this review has identified that the potential impact of personal reputation on leader selection in teams is significant yet largely ignored.

Models of leader emergence in teams should incorporate the realistic assumption that teams formed in organizations are often comprised of individuals who have information on others either directly or indirectly. Personal reputation based on an individual’s history thus moderates how one’s behaviors or traits exhibited become contextualized in the overall assessment of leader desirability and selection in teams.

Based on a review of existing research on leadership emergence and personal reputation, this work contends that the external validity and predictive value of leader emergence models would greatly benefit from the inclusion of employee reputations as a moderating variable in the future assessment of the leader emergence process in AWTs.

By designing models that explain the potential effects of personal reputations on leader emergence in self-managed teams, team members and managers can be better elucidated and ultimately improve their understanding of the process of the evaluation and selection of team leaders.

Despite the prolific research on leader emergence, there is still a paucity of studies examining personal reputational effects on leader selection, especially in the context of AWTs. This work is the first review piece calling for the inclusion of personal reputation, a substantive factor overlooked and excluded in previous models, to enhance the current understanding of leader emergence in AWTs.

This paper aims to explore how the novel information technology (NIT) [1] affects three dimensions of sustainable supply chain performance (economic performance, environmental performance and social performance) and how two dimensions of IT alignment (IT infrastructure alignment and IT human resources alignment) mediate the relationship between them.

NIT is defined, the dimension of IT alignment is expanded, the theoretical hypotheses are proposed and are tested using survey data from 394 manufacturing enterprises using NIT in China.

The results indicate that NIT plays a positive role in improving sustainable supply chain performance, and IT alignment mediates the impact of NIT on sustainable supply chain performance.

This study highlights the impact of NIT on sustainable supply chain performance and demonstrates IT alignment as a mediator between them, it also provides a deeper understanding of how different dimensions of IT alignment affect sustainable supply chain performance

Despite the important role that suppliers have in enhancing the environmental performance of a buyer firm, previous research has not investigated the individual-level motivations of supplier employees (representatives) in supplier-to-supplier environmental knowledge sharing. Thus, we use insights from the coopetition literature to examine how buyer firms can encourage supplier-to-supplier environmental knowledge sharing with the aim of improving the buyer’s environmental performance.

We empirically test our model using an online vignette-based experiment administered to supply chain managers. We contextualized our results using insights from interviews with senior managers representing firms operating in a broad array of industries.

We find that a supplier representative’s personal environmental values influence their commitment to an environmental consortium with a rival firm, and they are subsequently willing to share proprietary environmental knowledge. In turn, these relationships are moderated by situational factors including competitive intensity and buyer power.

The study of coopetition is an emerging stream of research in operations management. Our findings improve the understanding on how a focal actor within a buyer–supplier coopetitive network can promote environmental knowledge sharing behavior.