Strategic entrepreneurship: Content,process, context,and outcomes

Strategic entrepreneurship (SE) is typically defined as organizationally consequential innovations within existing firms that involve the combination/integration of opportunity- and advantage-seeking behaviors. Focused on the transformation of organizations through innovation, SE is a construct that has generated much practitioner and scholarly interest in the preceding decades. Building upon the many contributions already observed on the topic, this paper aims to identify current limitations and central research issues of SE. Borrowing a framework from the change management literature, I diagnose current conceptualizations of SE and promote future research through careful consideration of the content, process, context, and relevant outcomes of SE. Examination of the extant literature would suggest there is still ample room for scholars to contribute to properly defining SE, understanding exactly how SE is manifest in organizations, uncovering relevant and opportune internal and external environments for SE to pervade, and identifying pertinent consequences and results from successful SE.     

Mutuality between selves and others in social entrepreneurship: Not a mission impossible?

The social entrepreneurship (SE) discourse habitually casts social entrepreneurs as heroic, creating economic and social value, whereas those whom they strive to assist are portrayed as disadvantaged and in need of interventions. This implies an implicit differentiation between knowing, agentic entrepreneurs and less-knowing, more passive beneficiaries. In this article, we seek to unfold the subtle ordering of relations in SE and problematize power-related aspects and ideological influences that potentially overshadow dimensions of mutuality and relationality inherent to SE. From an examination of two cases, we hypothesize that differentiations between knowing selves and learning others tend to disintegrate when entrepreneurs and beneficiaries enter into closer interaction. Adopting a postcolonial framework, we identify three forms of relations in SE: transactional, ambiguous/interactional and transcending.     

INFORMATION THEORETIC APPROACHES IN ECONOMICS

Economics has seen a recent rise in interest in information theory as an alternative framework to the conventional notion of equilibrium as a fixed state, such as Walrasian market‐clearing general equilibrium. The information theoretic approach is predicated on the notion of statistical equilibrium (SE) that takes a distribution over all possible states as an equilibrium, and therefore predicts the endogenous fluctuations of the system along with its central tendency simultaneously. For this reason, SE approaches can explain the observed data without relying on arbitrary assumptions about random noise and provide useful insights for many interesting economic problems that conventional methods have not been able to satisfactorily deal with. In this paper, we review the key elements of information theory focusing on the notions and applications of entropy and SE in economics, particularly paying attention to how entropy concepts open up a new frontline of economic research.     

Bibliometric analysis of strategic entrepreneurship literature

As the integration of entrepreneurship and strategic management, strategic entrepreneurship (SE) and related research has been developing for more than 20 years. Enterprises need such a holistic perspective to survive and thrive in the current competitive environment, capturing the efforts to achieve long-term goals, as do entrepreneurs and managers. A comprehensive review scans the evolution of this integrated domain based on 365 publications extracted from Web of Science (WoS), which span from 2001 to 2021, while the knowledge and methods of bibliometrics are mainly employed to complete the process of analysis. To be specific, three aspects are primarily focused on: general characteristics of publications, cooperative relationship network and crucial content. All the analysis steps are realized through bibliometric visualization software VOSviewer and CiteSpace, and the results are then demonstrated in the form of data and graphs for conclusion and discussion. By providing an overall insight into SE, this article gains researchers’ better understanding of theoretical construction and achievements. More importantly, scholars may pay more attention to the development and research of SE from multiple fields.

     

Strategic entrepreneurship and knowledge spillovers: spatial and aspatial perspectives

The literature in the Strategic Entrepreneurship (SE) is increasingly embracing the concept and implications of knowledge spillovers. In this paper, we add to the theoretical repertoire on SE and knowledge spillovers by investigating the types of knowledge spillovers and what they imply for various dimensions of SE. On the one hand, we distinguish between spatial and aspatial knowledge spillovers. On the other hand, we distinguish between three dimensions of SE, i.e. inputs, resource orchestration, and output. Finally, we conceptually link the various types of knowledge spillovers and dimensions of SE and discuss the implications. Doing so, we argue that spatial knowledge spillovers (inter-firm) has received the major attention in previous research in increasing the amount of ‘inputs’ dimension of SE, while the aspatial knowledge (either inter-regional or intra-firm) has been relatively neglected not only for ‘inputs’, but also for ‘resource orchestration’ dimension. At the end, the paper provides suggestions for future research.     

Public entrepreneurship: desiring social change,creating sociality

In this paper we want to affirm the desiring-social-change that we find in practices presently represented by theorists and policy-makers as examples of ‘social entrepreneurship’ (SE). We do this as an attempt to intensify the presence of the social and sociality in today's discourse on the entrepreneurship–society relationship. SE, as all entrepreneurship practices, operates by social and economic forces (limiting ourselves to those here), and generates social and economic outcomes (amongst others). Its second half, however, dominates the concept of SE, and our analysis seek to remedy this imbalance by focusing on the social productivity of entrepreneurship, on entrepreneurship desiring social change. We suggest ‘public entrepreneurship’ might grasp this as a more balanced concept that will also support a more precise analysis of the entrepreneurship–society relationship.     

Social innovation with open source software: User engagement and development challenges in India

A diverse range of innovative solutions based on Free-and-Open-Source Software (FOSS) have been developed for marginalized communities in developing countries. It has been suggested that such small-scale and home-grown solutions (e.g. mobile phone apps), usually championed by social enterprises (SEs), are more likely to introduce pro-poor change than infrastructure heavy ICT initiatives designed by state and other international actors. In the Indian context, FOSS-based social innovations (SIs) introduced by SEs are helping poor communities tackle previously thought-to-be unresolvable socio-economic problems. An interesting question, therefore, would be: in what ways is the SE model and approach uniquely equipped to develop FOSS-based SIs that deliver pro-poor change? The empirical component of the research attempts to shed light on this question by uncovering the nuts and bolts of the development methodology deployed by an SE during the coding and launch of an FOSS-based SI. Findings highlight the significant role of the founder's social vision; the challenges of accurately capturing and translating to software developers the nature and nuance of social problems; and, the incumbent issues in putting together a methodology that creates active user engagement throughout the software development process, overcoming difficult barriers such as language and culture.     

The transition from linear economy to circular economy for sustainability among SMEs: A study on prospects,impediments, and prerequisites

The circular economy (CE) is a more holistic approach that advocates towards extracting the value from the waste and reaching sustainability goals. The objective of the present study is to highlight the prospects, impediments, and prerequisites while transiting from the linear economy (LE) to CE of SMEs. The study gathers information on prospects, impediments, and prerequisites for the transition of LE to a CE from recent studies . A semi-structured interview questionnaire was prepared, and a survey was conducted on representatives of six SMEs . Further, six caselets were developed to understand the prospects, impediments, and prerequisites based on the findings of the interview and previous information gained from existing literature . The major prospects favoring transition from LE to CE found in the study are significance of 3R (reduce and reuse and recycling) approach, CE leads to competitive advantage, recycling attracts consumers in few cases, CE helps in achieving sustainability goals and reuse of materials are significant in resource conservation. There are certain impediments found such as issues associated with awareness, recyclability issues, financial challenges, and weak management vision of SMEs towards CE implementation. Other resource-based impediments were found related to trained employees, lack of experience. Whereas, consumer acceptability is also a major concern towards implementing CE. The findings of the study suggest major prerequisites towards CE implementations such as strong “management will,” innovation, technology up-gradation, training to employees, motivation, and appropriate guidelines. Government pressure to implement CE cannot be an effective step towards the transition of LE to CE.     

Policies to enhance social development through the promotion of SME and social entrepreneurship: a study in the Colombian construction industry

Abstract

The intent of this research is to propose and analyse a set of policies in the construction industry to enhance social development. First, the paper shows the connections between the development of small and medium enterprises (SMEs) and social entrepreneurship (SE), the reduction of the leakage, and then the generation of social value (SV) for sustainable regional development. For that, the article analyses briefly the literatures on SE and leakage, and focuses on the relevance of SME and social entrepreneurs as promoters of SV creation and development. Second, the paper proposes a framework and proposes a set of 20 policies aimed to reduce leakage, reinforce SMEs and entrepreneurship and also to promote SE behaviour by the diverse economic agents in the construction industry, in order to increase the generation of SV and sustainable development. Then, the paper analyses the acceptability, feasibility and viability of these proposed polices, which can be useful for academics and practitioners. For that, the study uses the Delphi methodology, applied to an expert-group of 23 professionals (representatives of the private and public sector) belonging to the Colombian construction industry. The results emphasize the relevance of the development of local incumbents and the social focus of firms to increase the generation of SV. Oppositely, policies interfering economic freedom and free trade receive the lowest rates in the three criteria considered.     

ECONOMETRIC ISSUES IN MACROECONOMIC MODELS WITH GENERATED REGRESSORS

Abstract. The paper critically reviews the literature on the econometric issues raised by the use of generated regressors (GR) in empirical models. The economic rationale for the use of GR is considered, with examples being drawn from several macroeconomic examples, including New Classical Macroeconomic (NCM) models which postulate monetary ncutrality. Various estimation methods are discussed for models which include 'surprise' or 'unexpected' terms and the strengths and weaknesses of each approach are investigated. Drawing upon the work of McAleer and McKenzie (1991b), situations where the typically inefficient two-step estimation (2SE) method will be efficient are highlighted. Problems of model misspecification and measurement errors are also investigated. An empirical section highlights some of the dangers of using uncorrected 2SE estimation results through a careful consideration of many recent attempts to test the NCM monetary neutrality hypothesis.     

Innovation attributes and pedagogical quality: a concretization of joint theories on course management systems acceptance

The utilization of information and communication technologies in support of teaching and learning is still on its way to expand its potentials in higher education. Facing different venues of course delivery, computer-mediated communication technologies seem to be the most efficient and cost-effective. Since the mid-1990s, course management systems (CMSs) have gradually evolved, and taken an irreplaceable important role in higher education. From the perspectives of pedagogical impact and instructional resource consumption, Morgan (2003) considered that CMSs form the academic system equivalent of enterprise resource planning systems. Based on an extensive review on the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT) at the outset, this study bridges the TAM and IDT, and proposes a conceptual model of the acceptance of CMSs to acknowledge antecedents (i.e., innovation attributes, self-efficacy (SE), pedagogical quality (PQ) and perceived evaluation of function (EF)). Theoretically, the perceived innovation attributes of CMSs impact users’ perceived usefulness (PU) and actual use (AU). The antecedents, such as SE, PQ, and EFs, are also anticipated to have impacts on the AU and use of perception. PU is influenced by perceived ease of use (PEOU), while behavioral intention (BI) is concurrently influenced by PEOU and PU. Moreover, AU is influenced by BI. Finally, discussion and suggestions for future research of the proposed model are also provided.     

价值工程与软件工程方法论比较研究

本文阐述了价值工程(ValueEngineering,,简称VE)和软件工程(SoftwareEngineering,简称SE)在方法论方面的一致性和在技术手段实现方面的相似性和互补性。分析这些特点具有深刻的理论间意义和实践意义。共同的思想方法和相似性的技术手段,可以对价值工程和软件工程在具体实施方面进行接轨,而差异性和互补性可以相互借鉴。在实践方面可以为价值工程在软件开发和信息化工程(InformationEngineering,简称IE)中的应用铺平道路,同时为两者的理论发展提供一个新的突破口。     

Assessing people-driven factors for circular economy practices in small and medium-sized enterprise supply chains: Business strategies and environmental perspectives

Globalisation and technological advancements have increased the pressure on small businesses to increase their productivity and to gain competitive advantages. That pressure has been placed on the resources available, resulting in increased environmental degradation as a result of the traditional linear model of make-use-dispose. Circular economy (CE) practices offer the opportunity for sustainable production based on the reuse-remanufacture and recycling of resources for small and medium-sized enterprises (SMEs) to increase their sustainability, resulting in enhanced performance levels in terms of business strategies and environmental perspectives. But in academic literature, the role of people-driven factors (PDFs) in the adoption of CE practices in the supply chains (SCs) of SMEs is limited. Therefore, to fill this literature gap, this research looks at analysing PDFs for the implementation of CE in the SMEs in developing countries in two phases. PDFs are identified from an extensive literature review; a DEMATEL technique is then employed to understand the significant influence of each factor in the adoption of CE practices in SCs by dividing them into cause–effect groups. The findings show that PDFs such as training and knowledge sharing, employee participation, leadership and management plus strategic alignment are considered to be the most important significant factors in the adoption. The findings of this study will help industrial managers to understand the significance of the role of PDFs for enhancing business strategies; these findings can reduce the negative environmental impact in the adoption of CE practices in the SCs of SMEs.     

Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

A cointegration approach to modeling human capital formation,self-employment,and economic growth: evidence from Pakistan

This study aims to empirically investigate the dynamics of relationship among human capital formation, self-employment (SE), and economic growth in Pakistan. Using quarterly data of primary school enrollment, SE, and GDP per capita, we employed ARDL bound testing approach to cointegration covering the time span of 1995–2010. We found that in the long run, primary school enrollment, high school enrollment and SE have significant impact on economic growth. Enrollment in primary schools (EP) has a strong positive and significant impact on economic growth, whereas enrollment in high school has a relatively small positive and significant impact on economic growth in the long run in Pakistan. Further, SE has a small, positive and significant impact on economic growth in the long run. In short run, enrollments in high schools and SE have weak positive impact on economic growth whereas, EP has a strong positive and significant impact on economic growth in Pakistan. Further it is found that that there is unidirectional long run causality from self employment to economic growth followed by the bidirectional short run causality between economic growth and high school enrollment, GDP per capita and primary school enrollment, high school enrollment and primary school enrollment.     

ICT Statistics at the New Millennium—Developing Official Statistics—Measuring the Diffusion of ICT and its Impact

The paper gives a short and very rough overview of the ongoing work in the field of statistics relating to the development of information and communication technology (ICT) and its impacts on the economies and on the society as a whole. It introduces three slightly different approaches with different emphasis on describing the emergence and diffusion of ICT and the respective economic and social change. These are termed the indicators approach, the new economy approach and the intellectual capital approach. The paper also discusses the basic requirements for the establishment of a new statistical system, as well as the present obstacles and problems of this work. Finally, some remarks are presented regarding further statistical co-operation in this field.     

Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern

Resource depletion is a concern for the global economy; many think that available resources on the planet will not be able to cater to an ever-growing population. Thus, economies are trying to become circular, leaving behind the linear tradition linear approach. In the circular economy (CE), physical resources and energy are made to loop back into the supply chain (SC) for a more extended period. Proper selection of suppliers is an essential criterion towards proper execution of the CE principle in SC. In this research, we have constructed a framework for evaluating the supplier concerning the CE implementation. Further, this research identifies the criterion and sub-criterion, which are pertinent for evaluating the supplier in CE context. Fuzzy-based ‘Criteria Importance Through Inter-Criteria Correlation (CRITIC)’ method is justifiably applied to determine the aggregated weights of the criteria. Finally, ‘Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)’ method is used to determine the suppliers' ranking in the Indian automobile industry. Six criteria and 24 sub-criteria are obtained as per recent literature and then inputs from experts. ‘Environment’ criterion came out as the most favourable criterion with a subjective weight of 0.230. The current research is one of the first such attempts to provide criteria for supplier selection in a CE environment. The developed framework would help organisations in implementing CE-based supplier selection. The identified criteria and sub-criteria would provide organisations with means to evaluate suppliers and help suppliers develop an effective and efficient CE based on the SC.     

Selecting local models in multiple regression by maximizing power

This paper considers multiple regression procedures for analyzing the relationship between a response variable and a vector of d covariates in a nonparametric setting where tuning parameters need to be selected. We introduce an approach which handles the dilemma that with high dimensional data the sparsity of data in regions of the sample space makes estimation of nonparametric curves and surfaces virtually impossible. This is accomplished by abandoning the goal of trying to estimate true underlying curves and instead estimating measures of dependence that can determine important relationships between variables. These dependence measures are based on local parametric fits on subsets of the covariate space that vary in both dimension and size within each dimension. The subset which maximizes a signal to noise ratio is chosen, where the signal is a local estimate of a dependence parameter which depends on the subset dimension and size, and the noise is an estimate of the standard error (SE) of the estimated signal. This approach of choosing the window size to maximize a signal to noise ratio lifts the curse of dimensionality because for regions with sparsity of data the SE is very large. It corresponds to asymptotically maximizing the probability of correctly finding nonspurious relationships between covariates and a response or, more precisely, maximizing asymptotic power among a class of asymptotic level αt-tests indexed by subsets of the covariate space. Subsets that achieve this goal are called features. We investigate the properties of specific procedures based on the preceding ideas using asymptotic theory and Monte Carlo simulations and find that within a selected dimension, the volume of the optimally selected subset does not tend to zero as n → ∞ unless the volume of the subset of the covariate space where the response depends on the covariate vector tends to zero.     

A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection

This paper develops a novel time-varying multivariate Copula-MIDAS-GARCH (TVM-Copula-MIDAS-GARCH) model with exogenous explanatory variables to model the joint distribution of returns. The model accounts for mixed frequency factors that affect the time-varying dependence structure of financial assets. Furthermore, we examine the effectiveness of the proposed model in VaR-based portfolio selection. We conduct an empirical analysis on estimating the 90%, 95%, 99% VaRs of the portfolio constituted of the Shanghai Composite Index, Shanghai SE Fund Index, and Shanghai SE Treasury Bond Index. The empirical results show that the proposed TVM-Copula-MIDAS-GARCH model is effective to investigate the nonlinear time-varying dependence among those three indices and performs better in portfolio selection.