Open data in Nepal: a webometric network analysis

This study examines the current open data trends in Nepal based on the webometric analysis method by using search engines to trawl through websites and obtain data. The results indicate that various national and international nonprofit organizations, public sector organizations, educational institutions , and a few commercial organizations were the initial actors fostering open data in Nepal. Therefore, these organizations were analyzed in terms of their networking patterns and the extent to which they are exposed internationally in cyberspace by using Webometric Analyst 2.0. Inter-linkage analysis, co-mention analysis, and link impact analyses were conducted to explore the networking behavior in the World Wide Web. The results revealed that international organizations (IOs) were strongly interlinked. Nongovernmental organizations (NGOs), government organizations (GOs), and IOs were interlinked, but weakly. In terms of the co-mention network analysis, IOs with IOs were more significant than NGOs with NGOs, GOs, or business organizations because IOs had been working actively for many years, their web presence was high, and they worked in other fields, including open data. A link impact analysis was also conducted using its indicators of seed sites linked to external websites in terms of the estimated number of top-level domains and country-code top-level domains.     

Family businesses and non-family equity: literature review and avenues for future research

Family firms commonly prefer internal funding and retention of control. Under certain circumstances, however, equity investments from outside the family can be a relevant alternative source of capital. To facilitate further knowledge about the interaction of family-owned businesses and external equity investors, the present work reviews 42 studies and suggests possible directions for future research. Results reveal that extant studies focus mainly on five key areas—corporate finance, contract design and collaboration, succession and exit route, strategy and performance, and corporate governance. Moreover, the paper discusses various gaps in the extant work and presents three opportunities for future research in a detailed manner. These include a comparison of different types of investors in the context of family-owned businesses, an investigation of minority investor exits from family firms, and an analysis of the impact of investors on family firm boards. All in all, the findings can guide the future development of this emerging field of research and have implications for theory and practice.     

Antecedents and effects of emotions in strategic decision-making: a literature review and conceptual model

Individual emotions are essential driving forces in strategic decision-making. Nevertheless, the current state of research on emotions and their effects on strategic decision-making is fragmented and inconsistent. Therefore, this paper presents a narrative literature review that aims to bring some structure into current research and to advance an agenda for a future research on emotions in the strategic decision-making context. Based on cognitive appraisal theory and affective events theory this review focuses on organizational and individual antecedents for the development of emotions in the strategic decision-making context as well as on the effects of emotions on the strategic decision-making process. The paper concludes with a conceptual framework that summarizes the findings of this review and indicates possible directions for future research.     

Innovation and entrepreneurship in the academic setting: a systematic literature review

In the knowledge society, universities have assumed new missions and relations in order to contribute to economic and social development, while preserving their own sustainability. This article aims to explore scientific literature on innovation and entrepreneurship in the academic setting, describing how the field is organized, main terms and definitions, theoretical frameworks, and empirical models, in order to direct future research. A systematic literature review was conducted, in which articles indexed at Web of Science were initially submitted to a bibliometric analysis. Then, the content of a set of articles best fitting the objectives of the study was analyzed. Bibliometric analysis shows an increasing literature, with publications over more than 40 years. There are studies from many disciplines, with those in business and economics prevailing, mainly related to management and originating from the USA and Europe. Content analysis shows a fragmented literature, with definitions not showing a clear relationship between innovation and entrepreneurship, or their use within universities in coherence with their traditional definitions. Both theoretical frameworks and empirical models are very heterogeneous, but four groups of studies were identified based on their theoretical frameworks, and also based on their empirical models. With only a few exceptions, empirical models do not share many components and variables, and there are no clear boundaries between the different models. Despite the increasing literature, it is still fragmented and undertheorized, requiring more systematic and holistic studies, considering both the economic and the social aspects of innovation and entrepreneurship within universities.     

Effects of limit order book information level on market stability metrics

Using an agent-based model of the limit order book, we explore how the levels of information available to participants, exchanges, and regulators can be used to improve our understanding of the stability and resiliency of a market. Ultimately, we want to know if electronic market data contains previously undetected information that could allow us to better assess market stability. Using data produced in the controlled environment of an agent-based model’s limit order book, we examine various resiliency indicators to determine their predictive capabilities. Most of the types of data created have traditionally been available either publicly or on a restricted basis to regulators and exchanges, but other types have never been collected. We confirmed our findings using actual order flow data with user identifications included from the CME (Chicago Mercantile Exchange) and New York Mercantile Exchange. Our findings strongly suggest that high-fidelity microstructure data in combination with price data can be used to define stability indicators capable of reliably signaling a high likelihood for an imminent flash crash event about one minute before it occurs.     

Social networks,mass media and public opinions

Our opinions and ideas are shaped by what our friends said and what we read or watched on mass media. In this paper, we propose a concise and analyzable model to study the effects of mass media modeled as an applied external field, and social networks on public opinions based on the multi-state voter model, and a tuned parameter can control the relative intensity of the effects of mass media and social networks. We consider a generalized scenario where there exist committed or stubborn agents in the networks whose opinions are not affected by their friends or mass media. We find that the fraction of each opinion will converge to a value which only relates to the fractions and degrees of stubborn agents, and the relative intensity between media and network effects. The final agents with media opinion, except the stubborn agents, also include the increment produced by the internal impact of social networks and that caused by the external impact of media. Interestingly the second increment is composed of two parts, one is from the media effect when there are no interactions between agents and the other is from the influence of media on agent opinions caused by social network structure. That is the interactions among agents within social networks can amplify media influence. Finally we also discuss several extensions to the dynamics model which consider more realistic scenarios.     

A processual analysis of the purchasing and supply organization in transition: the impact of offshoring

Many companies have resorted to offshoring in order to reduce costs and grow their global market presence. Yet it remains unclear what impact the offshoring strategy has on the purchasing and supply organization (PSO) of these companies. In this paper the nature and type of changes offshoring organizations make within the PSO are examined, i.e. how new purchasing and supply management (PSM) structures and practices emerge, are maintained or are discarded as production operations are relocated. The processual perspective is used to analyze empirical data from a rich, in-depth case study within a global engineering company. Results suggest that in line with the law of requisite variety the PSO changes thoroughly when the company relocates its production activities through the captive offshoring mode, but does so in a more disjointed and non-linear manner than the current stage models would suggest. The offshoring process provides momentum for PSO change and influences where and how the change happens. We present five propositions for further research and conclude that offshoring provides managers with opportunities to: (i) change and influence the strategic direction of PSM in their organizations, and (ii) build viable strategies of retaining and managing knowledge and PSM competencies in global operations.