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This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic.

From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic.

The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule.

The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.

Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.

The model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.

In literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.

The suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.

The purpose of this paper is to explore the key ingredients that people analytics teams require to contribute to organizational performance. As the information that is currently available is fragmented, it is difficult for organizations to understand what it takes to execute people analytics successfully.

To identify the key ingredients, a narrative literature review was conducted using both traditional people analytics and broader business intelligence literature. The findings were summarized in the People Analytics Effectiveness Wheel.

The People Analytics Effectiveness Wheel identifies four categories of ingredients that a people analytics team requires to be effective. These are enabling resources, products, stakeholder management and governance structure. Under each category, multiple sub-themes are discussed, such as data and infrastructure; senior management support; and knowledge, skills, abilities and other characteristics (KSAOs) (enablers).

Many organizations are still trying to set up their people analytics teams, and many others are struggling to improve decision-making by using people analytics. For these companies, this paper provides a comprehensive overview of the current literature and describes what it takes to contribute to organizational performance using people analytics.

This paper is designed to provide organizations and researchers with a comprehensive understanding of what it takes to execute people analytics successfully. By using the People Analytics Effectiveness Wheel as a guideline, scholars are now better equipped to research the processes that are required for the ingredients to be truly effective.

In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base.

It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches.

The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system.

Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation.

In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.

Considering the central role of narratives in the articulation of the self, processing experiences and conveying meaning, many scholars in marketing and consumer behaviours have tried to study the subject. This pool of multi-disciplinary studies has yielded fragmented literature resulting in ambiguity. Therefore there is a need for an article, which studies the extant literature comprehensively. Hence, this paper aims to pursue two objectives, to summarize prominent research studies in consumption narratives and to suggest directions for future research.

The paper reviews 25 key studies on consumption narratives and highlights their most important contributions, methods and findings.

As in consumer narrative research, the concept almost always has been borrowed from different domains, the findings suggest a concise definition to fill this gap. Also, to enrich the findings, three-level of consumption narratives are discussed.

This paper serves as a basis to comprehend the essence of consumption narratives in the consumption context, to understand the research gaps and provides directions for future research.

Considerando el papel central de las narrativas en la formulación de uno mismo, el procesamiento de las experiencias y la transmisión de significados, muchos académicos en marketing y comportamiento del consumidor han tratado de estudiar este tópico. Este conjunto de estudios de carácter multidisciplinar ha dado lugar a una literatura muy fragmentada y ambigua. Por tanto, se hace necesario un trabajo de investigación que estudie de menara exhaustiva la extensa literatura existente. En definitiva, este artículo persigue dos objetivos, resumir las investigaciones más destacadas sobre narrativas de consumo existentes en la literatura y sugerir orientaciones para futuras investigaciones.

Este artículo revisa 25 estudios clave sobre narrativas de consumo y resalta sus contribuciones, métodos y hallazgos más relevantes.

Teniendo en cuenta que en la investigación sobre narrativas de consumo el concepto ha sido casi siempre tomado de diferentes ámbitos, los hallazgos sugieren una delimitación conceptual más concisa para cubrir este vacío. Asimismo, para enriquecer los resultados se analizan tres niveles de narrativas de consumo.

Este artículo sirve de base para comprender la esencia de las narrativas de consumo en el contexto del consumo, entender las brechas de investigación que aún existen en este ámbito y proporcionar guías para futuras investigaciones.

考虑到叙事在自我表达、处理体验感受和传达意义方面的中心作用, 许多营销学者和消费者行为学者都试图对这一主题进行研究。由于研究成果横跨多个学科, 而导致文献支离破碎, 造成了歧义。因此, 有必要对现存文献进行综合研究。因此, 本文的研究目标有二, 一是总结当前消费叙事研究的主要成果, 二是为今后的研究指明方向。

本文回顾了关于消费叙事的25个主要研究, 并强调了它们最重要的贡献、方法和发现。

由于之前的消费者叙事研究中, 消费者叙事的概念几乎总是从不同的领域借用, 研究结果提出了一个简明的定义来填补这一空白。此外, 为了丰富研究结果, 本文还讨论了三个层次的消费叙事。

本文作为理解消费语境中消费叙事本质的基础, 来理解研究的差距, 为今后的研究指明方向。

The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML’s diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics.

The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a “snowballing” technique, a total of 47 articles form the basis of the review.

The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.

To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models.

The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution.

Improved LML performance would have positive societal impacts in terms of service and resource efficiency.

This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

Kerala is one of India's most advanced states in human development and other social indices. This study aims to look at the management education scenario in Kerala from a macro-perspective and examines the existing trends, major issues and present challenges facing the sector.

The study is driven by previously unexplored secondary data published by India's apex technical education regulator–All India Council for Technical Education (AICTE). Qualitative and quantitative assessments are assimilated from the organization, dissection and categorization of unit-level data.

Business schools (B-schools) in the state are facing acute distress in enrolments. There are intra-regional variations in institution count and occupancy rates. The vast majority of the institutions have no accreditation at all. The entire sector is facing a protracted decline.

The study has relied primarily on descriptive statistics considering a single discipline within the higher education sector in Kerala. Future studies should look at other disciplines (engineering, medicine) simultaneously. Use of statistical methods like panel data regression would be beneficial to find hidden trends in cross-sectional and longitudinal time-series data.

Management education in Kerala is facing an existential crisis. This has implications for the state's economic development. The paper creates strong imperatives for government policymaking to forestall the complete decline of the sector.

A highly literate state with advanced human development indices need not be a suitable location for building a knowledge-based economy. Government policy has strong implications for the development and sustenance of higher education. The relationship between government and business schools are symbiotic.

The paper maps the progression of B-schools from local to global. A typology of privately funded B-schools is proposed. The conceptual framework advanced in this study can contribute to further literature development. The suggested policy initiatives are applicable not only to Kerala but also to other tightly regulated markets.

Supply chain (SC) professionals and their competence play a key role in creating value and competitive advantage for companies. A considerable amount of this competence is developed at work, but little is known about how this takes place. Drawing on constructivist learning theory, the authors investigate how SC professionals develop their competence at work.

The study takes off from a theoretical framework of workplace learning mechanisms, followed by a series of in-depth interviews with an expertise panel of profoundly competent and experienced SC professionals.

The results provide detailed insights into the learning process of SC professionals. The key findings show that SC professionals use a wide range of learning mechanisms throughout their careers, and that the contribution and complexity of these mechanisms differ and change dynamically with seniority. The findings also show that learning mechanisms should not be viewed as isolated phenomena, but closely related to every-day SCM work as well as learning attitude.

By conceptualizing learning as a process, and congregating the fragmented literature into a framework of workplace learning mechanisms, this research provides a theoretical reference point for future studies. The empirical findings bring a new level of detailed knowledge on how SC professionals learn at work.

The results can assist SC professionals, HR managers and academic program leaders in their quest to develop competence in the field of SCM.

This paper makes a unique contribution to the human aspects of SCM literature by presenting the first study that investigates in depth the crucial but complex process of how workplace learning takes place for SC professionals in practice.

The purpose of this paper is to contribute to a more pragmatic critical management studies (CMS), by exploring the emancipatory intent of organizational (re)design concepts and ideas from the modern sociotechnical approach integral organizational renewal (IOR).

This paper is of a conceptual nature in that it engages with relevant literature from the fields of CMS and IOR, guided by a focused conceptualization of emancipation from CMS literature.

It is found that although IOR can to a large extent be considered as an emancipatory project, it contains a number of dangers which jeopardize its emancipatory potential. Complemented with other sociotechnical approaches and ideas, however, it appears that IOR could make some valuable contributions to a pragmatic CMS.

This paper is unique in engaging in an exchange of ideas between CMS and IOR. By doing so, it contributes, first, to the debate on a more pragmatic CMS; second, to the dialogue between CMS and “mainstream” organization science; third, to the field of organizational (re)design.

Wicked problems are causally complex, lack definite solutions, and re-emerge in different guises. This paper discusses how new ways of organizing emerge to tackle changing manifestations of wicked problems. Focusing on the wicked problem of poverty, we conducted a longitudinal study of Fe y Alegria (FyA), one of the world’s largest non-governmental organization, which provides education for the poor across 21 countries in Latin America and Africa. Drawing on archival and ethnographic data, we trace the historical narratives of how FyA defined poverty as a problem and developed new ways of organizing, from its foundation by a Jesuit priest in 1955 to its current networked structure. Our findings reveal the ongoing cycle of interpretive problem definition and organizing solutions for wicked problems. First, since there is no “true” formulation of a wicked problem, actors construct narrative explanations based on their understanding of the problem. Second, organizational solutions to a wicked problem are thus reflections of these narrative constructions. Third, emerging and changing narratives about what the problem is inspire new organizational responses. Our findings provide insights into the dynamic relationship between organizing for wicked problems, narratives, and the changing manifestations of wicked problems and grand challenges more broadly.