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In the mid-2000s, the operator of New York City’s mass transit network committed more than a half-billion dollars to military contractor Lockheed Martin for a security technology capable, in part, of inferring threats based on analysis of data streams, of developing response strategies, and taking automated action toward alerts and calamities in light of evolving circumstances. The project was a failure. This chapter explores the conceptualization and development of this technology – rooted in cybernetics – and compares its conceptual underpinnings with some situated problems of awareness, communication, coordination, and action in emergencies as they unfold in one of the busiest transport systems in the world, the New York subway. The author shows how the technology, with all the theatrical trappings of a “legitimate” security solution, was apparently conceived without a grounded understanding of actual use-cases, and the degree to which the complex interactions which give rise to subway emergency can be anticipated in – and therefore managed through – a technological system. As a case-study, the chapter illustrates the pitfalls of deploying technology against problems which are not well-defined in the first place, to the neglect of investments against much more fundamental problems – such as inadequate communication systems, and unstable relationships with emergency response agencies – which might offer guaranteed benefits, and indeed lay a firm groundwork for future deployment of more ambitious technology.

Economic ties and formation of trade blocks escalates the movement of goods among the participants and bring different economic and structural changes. Therefore, the current research emphasises on the distribution of market structure and industrial value added among the participant countries of China–Pakistan economic corridor project while focussing on pre and post FTA status.

This study utilises the footloose capital model for analysing whether China or Pakistan is more suitable for attracting factors of production to increase their share of industrial value added. For econometric analyses the current research utilises data from 1995 to 2018 and maximum likelihood effect method to assess factors that affect regional value-added distribution.

Results show that both countries owe different level of economic developments. Effect of capital is, comparatively, similar for both countries while Pakistan supports trade openness which points towards the fact of positive utilisation of abundant labour resources in Pakistan by establishing industrial structure either through domestic capital formation or foreign investment. Whereas, share of labour and trade openness of China positively affect value added production of China.

This is one of the unique studies that studies the regional economic treaties usefulness for any developing country across Asia. Where this study uses the footloose capital model and maximum likelihood method for its analysis which is not previously done, while for detailed analyses the study further divides the timeframe into two parts as pre-FTA ranges from 1995 to 2006, post-FTA from 2007 to 2018 while overall results consist of whole-time frame.

The purpose of this chapter is to review the accumulated research on a strategically important intangible asset – organizational reputation – and articulate promising research pathways forward. To do so, I first provide definitional clarity by comparing reputation to the related constructs of status, celebrity, legitimacy, and social approval and highlight the codifiable, cumulative, and beneficial nature of reputation. I then discuss three developments in reputation literature: (1) conceptualizing reputation as a multidimensional, rather than generalized, construct; (2) theorizing about reputational malleability rather than its path dependence; and (3) focusing on the costs of a high reputation in addition to its benefits. Based on these developments and the increasing role of social media in affecting and reflecting stakeholder perceptions, I discuss three pathways for future reputation research. Specifically, I focus on the decrease in credibility of powerful intermediaries and increase in stakeholder empowerment, conceptualization of reputation as a flow rather than a stock, and the role of strategic reticence. My hope is that this chapter will stimulate conceptual and empirical work on the role of reputation in the complex and dynamic era of social media.

Microfoundations have become an effective approach for capability scholars to explore the heterogeneity of organizational results. Since the early pioneering work of scholars such as Felin and Foss, the microfoundations of strategic organization had not been extensively studied until 2010. The theoretical and empirical literature associated with the microfoundations of dynamic capabilities has developed rapidly. However, the diversity and fragmentation of micro-elements lead to a lack of a relatively consistent understanding of microfoundations, the study purpose is to aggregate the associated scattered terminology into a cohesive discussion.

A systematic literature review was conducted on research papers published between 2000 and 2022 using a hybrid methodology that included bibliometric and content analysis.

The authors suggest that this line of research can be divided into three stages. The study further develop a framework delineating the main components and mechanism involved in the microfoundations of dynamic capabilities, which in turn help us distill research gaps and opportunities for future work.

The authors construct a framework that can serve as a coherent research platform for further knowledge development. In the framework, the authors highlight that the research of group constructs, culture and leadership, data-driven topics are valuable for our understanding of the microfoundations of dynamics capabilities.

Foreign markets possess different characteristics to domestic ones; this means that dynamic marketing capabilities (DMCs) should be adjusted. This paper aims to understand how these DMCs enable firms to achieve greater legitimacy in international markets.

This research uses a qualitative approach based on in-depth interviews in collaboration with an association of exporting firms.

Findings suggest five areas of DMCs to improve organizational legitimacy overseas: flexibility, relationship management, local market sensitivity, anticipation and exemplariness. Those capabilities should be combined and will play a different role depending on the implementation phase of the external company. Resource allocation and capability development should follow an integrative approach emphasizing proximity, adaptability, alliances, engagement and credibility to reach differentiation in foreign markets.

The originality is mainly focused on the cohabitation and strong synergies between DMCs and legitimacy. This aspect is particularly relevant because legitimized companies have higher levels of survival, which is fundamental in the international venture.

This paper aims to develop a framework for the semantic operationalisation of the business model, which enables the automated identification of business models using content analysis.

The authors approached the operationalisation of the business model by conducting a review of the organisational and management literature to derive the key business model elements highlighted in the existing research, along with their associated keywords.

The study proposed a conceptual framework that specifies a granular structure of business model elements, as well as the keywords that characterise each element. By coming down to the level of distinct keywords, the authors arrived at measurable constructs to capture the magnitude of every element in a company’s business model.

To the best of the authors’ knowledge, this study is the first to offer a semantic operationalisation of the business model by defining the set of keywords that pertain to each element of the business model. The proposed operationalisation of the business model can aid future empirical research by serving as a tool for the automated assessment of the magnitude of every element in a company’s business model using content analysis.

Este artículo tiene como objetivo desarrollar un marco de trabajo para la operacionalización semántica de los modelos de negocio, que permita la identificación automatizada de esos modelos usando “análisis de contenido”.

Abordamos la operacionalización del modelo de negocio mediante una revisión de la literatura de organización y gestión de empresas para derivar los elementos clave de los modelos de negocio destacados en la investigación existente, junto con sus palabras clave asociadas.

Nuestro estudio propone un marco conceptual que especifica una estructura detallada de los elementos de modelos de negocio, así como las palabras clave que caracterizan cada elemento. Al llegar al nivel de palabras clave distintas, obtuvimos constructos medibles para capturar la magnitud de cada elemento dentro del modelo de negocio de una empresa.

Nuestro estudio es el primero en ofrecer una operacionalización semántica de los modelos de negocio al definir el conjunto de palabras clave que se refieren a cada elemento del modelo de negocio. La operacionalización propuesta puede ayudar a la investigación empírica futura al servir como una herramienta para la evaluación automatizada de la magnitud de cada elemento en el modelo de negocio de una empresa mediante análisis de contenido.

Este artigo tem como objetivo desenvolver um framework para a operacionalização semântica do modelo de negócio, que possibilita a identificação automatizada de modelos de negócio por meio de análise de conteúdo.

Abordamos a operacionalização do modelo de negócio realizando uma revisão da literatura organizacional e de gestão para derivar os principais elementos do modelo de negócio destacados nas pesquisas existentes, juntamente com suas palavras-chave associadas.

Nosso estudo propôs um framework conceitual que especifica uma estrutura granular de elementos do modelo de negócio, assim como as palavras-chave que caracterizam cada elemento. Ao descer ao nível de palavras-chave distintas, chegamos a construtos mensuráveis para capturar a magnitude de cada elemento no modelo de negócio de uma empresa.

Nosso estudo é o primeiro a oferecer uma operacionalização semântica do modelo de negócio, definindo o conjunto de palavras-chave que se referem a cada elemento do modelo de negócio. A operacionalização proposta do modelo de negócio pode auxiliar pesquisas empíricas futuras, servindo como uma ferramenta para a avaliação automatizada da magnitude de cada elemento no modelo de negócio de uma empresa por meio de análise de conteúdo.

The authors integrate social cognitive theory with social exchange theory to examine how subordinates' perceptions of leader-member exchange (LMX) and moral disengagement mediate the relationship between congruence on implicit leadership theories (ILTs) of ethical leaders and characteristics recognized in one's supervisor (ethical ILT–supervisor alignment) and subsequent engagement-related outcomes (engagement attitudes, job satisfaction and supervisor-directed deviance). The authors then examine romance of leadership (ROL) as a moderator of these relationships.

The authors tested the theorized indirect effects and boundary conditions in a moderated mediation model using 180 working adults over three time points, in a polynomial regression framework using a block variable approach.

The authors found moderated indirect effects between ethical ILT–supervisor alignment and work-related outcomes via LMX and moral disengagement. ROL served as a boundary condition, such that the high levels bolstered the positive effects of ethical ILT–supervisor alignment.

The study results suggest that examining ethical leadership through the lens of implicit theories may be fruitful and highlight the importance of accounting for context when assessing the impact of ILTs.

The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

This paper aims at measuring the factors affecting early-stage entrepreneurial activity by opportunity vs necessity motives in India using theory of planned behaviour.

The study is based on the Adult Population Survey (APS) of Global Entrepreneurship Monitor (GEM), covering 4,165 respondents in 2018. The data has been analysed using descriptive statistics, chi-square test, analysis of variance and logistics regression. The theory of planned behaviour has been used to identify the determinants of early-stage entrepreneurial activity by opportunity vs necessity motives.

About 13.1% of the respondents reported early-stage entrepreneurial activity, of which opportunity motives were reported by 6.5% respondents, necessity motives by 5.4% respondents and the remaining 1.2% respondents reported other motives. Further, the mean difference in early-stage entrepreneurial activities by motives shows the domination of opportunity-driven entrepreneurial activities. Finally, marginal effects of all determining variables and three components of the theory of planned behaviour, i.e. attitude towards entrepreneurship (ATE), perceived subjective norm (PSN) and perceived behavioural control (PBC), have been estimated on opportunity vs necessity motives of early-stage entrepreneurial activities.

This paper contributes theoretically and practically to the existing body of knowledge by predicting the factors affecting opportunity vs necessity motives of early-stage entrepreneurial activities by applying the theory of planned behaviour. Considering the current focus of the government on promoting entrepreneurship, this piece of research can be valuable in adopting a motive-based approach in implementing entrepreneurial initiatives.

This paper provides unique insights into developing a policy framework for promoting new ventures based on the perceived motives of the entrepreneurs.