Fixed and random effects models: making an informed choice

This paper assesses the options available to researchers analysing multilevel (including longitudinal) data, with the aim of supporting good methodological decision-making. Given the confusion in the literature about the key properties of fixed and random effects (FE and RE) models, we present these models’ capabilities and limitations. We also discuss the within-between RE model, sometimes misleadingly labelled a ‘hybrid’ model, showing that it is the most general of the three, with all the strengths of the other two. As such, and because it allows for important extensions—notably random slopes—we argue it should be used (as a starting point at least) in all multilevel analyses. We develop the argument through simulations, evaluating how these models cope with some likely mis-specifications. These simulations reveal that (1) failing to include random slopes can generate anti-conservative standard errors, and (2) assuming random intercepts are Normally distributed, when they are not, introduces only modest biases. These results strengthen the case for the use of, and need for, these models.

     

Who am I? The influence of social identification on academic entrepreneurs’ role conflict

Academic entrepreneurs are the key actors in academic entrepreneurship. However, the individual level of research on academic entrepreneurship remains undeveloped. To better understand the micro foundation of academic entrepreneurship, we investigate the influence of social identification on academic entrepreneurs’ role conflict. Using data from 246 academic entrepreneurs, we explore the effects of scholarly identification, entrepreneurial identification, and social identity continuity on academic entrepreneurs’ role conflict. The results suggest that, entrepreneurial identification and social identify continuity are both negative related to identify conflict, while a scholarly identification is positively related to role conflict. In addition, the interaction of scholarly identification and entrepreneurial identification is negatively associated with role conflict. We also investigate the performance implications of such a role conflict and show that it is negatively related to academic entrepreneurship performance. We discuss the theoretical and practical implications of these findings.

     

When the difference makes a difference – the regional embeddedness of entrepreneurship

Abstract

Regional determinants of new firm formation are of interest to researchers and policymakers. In the analysis of new firm formation, most studies use econometric approaches that mask intra-unit variations, not recognizing counterbalancing and dilution effects as a result. Recent advances in spatial statistics such as Geographically Weighted Regression (GWR) take local variations into account. However, these approaches operate only on a bivariate level, making it impossible to detect the homogenous parts of the area under examination with regard to a number of relationships between new firm formation and its determinants. Based on a sample of 412 German regions, we apply GWR and subsequent graph-partitioning clustering to identify multi-relationally homogeneous sub-areas. Being that the results suggest a four-cluster solution, ‘one size fits all’ policies and premature unit zoning can be called into question.     

Entrepreneurial metacognition: a study on nascent entrepreneurs

This paper contributes to uncovering the role of metacognition in the decision-making process of entrepreneurs. Specifically, we analyze nascent entrepreneurs in their process of start-up development while relying on metacognitive processes. The experiences of a sample of new venture initiatives are explored in two distinct phases, a start-up competition and the subsequent launch of their venture. Following the Gioia protocol, the study contextualizes the process in which social capital reinforces metacognitive processes. This process stimulates nascent entrepreneurs to consider alternatives, such as extending expertise outside the start-up. Moreover, we find that these processes support entrepreneurs and their teams in improving their decision-making processes. The findings support that nascent entrepreneurs rely heavily on the input of others in their start-up creation process, and contribute to new empirical insights about entrepreneurial metacognition. A dynamic model in which these relationships emerge is developed. The study’s results contribute to a better understanding of the antecedents and consequences of metacognitive processes in nascent entrepreneurship.

     

Notes on contributors

Abstract

Today, many public professionals feel estranged from the policy programmes they implement; that is, they experience ‘policy alienation’. This is of concern as, for satisfactory implementation, some identification with the policy is required. We conceptualize policy alienation based on the sociological concept of work alienation, and show how this can be used in policy implementation research. Studying a Dutch case of professionals implementing a new work disability decree, we observe how NPM practices increase policy alienation because of a perceived dysfunctional focus on efficiency and results. A large number of policy changes and stricter implementation rules further increased policy alienation.     

Entrepreneurs’ achieved success: developing a multi-faceted measure

Firm performance is typically measured via objective financial indicators. However, researchers increasingly acknowledge that entrepreneurs do not measure their success solely in financial terms but that a range of often subjective indicators matter to them. This article contributes to the debate on entrepreneurial performance by studying how entrepreneurs assess their achieved success. ‘Entrepreneurs’ achieved success’ was conceptualized as a multi-faceted construct that includes entrepreneurs’ self-reported achievement of firm performance, workplace relationships, personal fulfilment, community impact, and personal financial rewards. It was measured via the Subjective Entrepreneurial Success–Achievement Scale (SES-AS). Over the course of three studies (N?=?390) the factorial structure of ‘entrepreneurs’ achieved success’ was established and largely replicated in two cultures. Based on a nomological network, we documented relationships among ‘entrepreneurs’ achieved success’, quasi-objective indicators of firm performance, and entrepreneurs’ financial satisfaction, creativity, and health. Based on our research, we propose a new conceptual framework to study performance in the context of entrepreneurship. This framework acknowledges both the success criteria that entrepreneurs wish to achieve and those that they actually achieve, and extends our understanding of firm performance.

     

Measuring user similarity using check-ins from LBSN: a mobile recommendation approach for e-commerce and security services

ABSTRACT

Social friendship and geographical position information often reflects individuals’ personal preferences and other types of knowledge that can be used to extract their similarity for recommendation systems. This paper finds that users are more likely to move around some specific centres or check in at some hotspots; a few individuals check in frequently, whereas most locations are rarely visited. Based on these findings, we propose a multi-centre clustering algorithm to capture users’ mobile patterns and develop a user similarity measurement method. Complexity analysis shows the method’s efficiency in handling large datasets and experimental results demonstrate its good applicability.     

Some Like it Non-Financial …

Abstract

Over the last decades the process of modernization in the public sector has fostered the adoption of new accounting techniques, such as accrual accounting and non-financial performance measurement systems. The purpose of this paper is to test hypotheses on the different perceptions of politicians and managers as to the importance of performance information. Our findings suggest that politicians’ and managers’ views on the importance of performance information are more similar than expected. They also show that accounting innovations are in some cases embraced with enthusiasm (non-financial performance), whereas in other cases they are hardly recognized (e.g. accrual accounting).     

Tracking precursors of entrepreneurial intention: the case of researchers involved in eco-label industry

This article is based on the adaptation of Ajzen’s theory of planned behavior (TPB) to build an entrepreneurial intention framework tailored to the specific context of researchers involved in eco-label industry, who can be perceived as nascent entrepreneurs. The entrepreneurial intention model is tested on a convenience sample of researchers involved in eco-label industry from a wide range of countries. The configurational effect of research experience, personal attitude, funding instruments and entrepreneurial education level is tested for causal condition related to entrepreneurial intention of 25 eco-label researchers. The qualitative approach of data reveals that research experience and personal attitude relate positively to entrepreneurial career intentions and that these relationships are mediated by entrepreneurial education level. A multi-sided online platform connecting innovators and potential investors is considered a suitable solution for funding respondents’ results of research and innovation activities. Stimulating entrepreneurial motivations and intentions may help researchers to better adapt to alternative career perspectives. Results of this study suggest several ways to stimulate entrepreneurial career choices among researchers involved in eco-label industry.

     

Entrepreneurs’ networks and the success of start-ups

The network success hypothesis assumes a positive relation between the networking activities of founders and their start-up’s success. The rationale behind this hypothesis is the theory of socially embedded ties that allow entrepreneurs to get resources cheaper than they could be obtained on markets and to secure resources that would not be available on markets at all, e.g. reputation, customer contacts, etc.

This paper clarifies how entrepreneurial network activities can be measured and which indicators exist to quantify start-up success. It then reviews empirical studies on the network success hypothesis. The studies have rarely come up with significant results. This surprising evidence can be explained by large differences in the way that the dependent and the independent variables were defined and by effects of unobserved variables such as the networking expertise of the founders and the entrepreneurs’ level of existing know-how in the areas of co-operation and networking (‘absorptive capacity’). The major shortcomings of existing network studies are found to be the neglect of different starting conditions, the focus on individual founders’ networks instead of multiple networks in start-ups with an entrepreneurial team, and the assumption of a linear causal relation between networking and start-up success. Accordingly, the paper develops a new, extended model for the relation between entrepreneurial networks and start-up success. Finally, we make some suggestions for the further development of entrepreneurial network theory.     

PROBLEM-SOLUTIONS IN THE MANAGEMENT OF INFORMATION SYSTEMS EXPERTISE

This article uses evidence on the management of Information Systems (IS) expertise to critique conventional understandings of the management of expert groups. These tend to focus on problems of ‘integration’ or ‘control’ at the point of production. But this neglects the interplay between organizations and the wider structure of IS expertise; the latter being shaped by the evolving computer technology regime and the IS occupation's ability to colonize technological knowledge. In this context, the management of expertise is better viewed as an evolving series of ‘problem-solutions’. ‘Hybrid managers’ and ‘strategic information systems’ are cited as instances of such problem-solutions.     

Design implications for task-specific search utilities for retrieval and re-engineering of code

The importance of information retrieval systems is unquestionable in the modern society and both individuals as well as enterprises recognise the benefits of being able to find information effectively. Current code-focused information retrieval systems such as Google Code Search, Codeplex or Koders produce results based on specific keywords. However, these systems do not take into account developers’ context such as development language, technology framework, goal of the project, project complexity and developer’s domain expertise. They also impose additional cognitive burden on users in switching between different interfaces and clicking through to find the relevant code. Hence, they are not used by software developers. In this paper, we discuss how software engineers interact with information and general-purpose information retrieval systems (e.g. Google, Yahoo!) and investigate to what extent domain-specific search and recommendation utilities can be developed in order to support their work-related activities. In order to investigate this, we conducted a user study and found that software engineers followed many identifiable and repeatable work tasks and behaviours. These behaviours can be used to develop implicit relevance feedback-based systems based on the observed retention actions. Moreover, we discuss the implications for the development of task-specific search and collaborative recommendation utilities embedded with the Google standard search engine and Microsoft IntelliSense for retrieval and re-engineering of code. Based on implicit relevance feedback, we have implemented a prototype of the proposed collaborative recommendation system, which was evaluated in a controlled environment simulating the real-world situation of professional software engineers. The evaluation has achieved promising initial results on the precision and recall performance of the system.     

The Value-Relevance of Financial Statement Recognition versus Note Disclosure: Evidence from Goodwill Accounting

This paper aims to examine how the adoption of a new Enterprise Resource Planning (ERP) system challenges the definition of the expertise and roles of accountants within organizations, leading to new, hybrid positions. By drawing on structuration theory, we propose to conceptualize the potential change in accountants' practices and positions as a structuration process, and ERP systems as modalities of structuration, providing new interpretive schemes, norms and co-ordination and control facilities, which influence the direction of hybridization between accountants and other professional groups. Since the results of this process are neither predictable a priori, nor generalizable, we are convinced that detailed interpretive case studies of ERP implementations are needed to understand their complex impacts on accountants. Hence, we provide one such study in order to explore the 'ambiguous' and often inconsistent consequences for accountants deriving from the adoption of an ERP system.     

Gaming the system: building an online management game to spread and gather insights into the dynamics of performance management systems*

ABSTRACT

Extensive research has produced many insights into the dynamics of performance management systems. Spreading these complex insights among students and practitioners can be a daunting task. Gathering new insights can be equally challenging. This article introduces a novel tool for teaching and researching performance management, reporting on the design and first use of a free online management game. Players take the role of a hospital manager trying to satisfy multiple stakeholders through applying different performance management instruments. While students learn about the complexities of performance management, researchers gather data about the pathways individuals pursue while navigating performance management systems.     

Measuring innovation and innovativeness: a data-mining approach

Despite substantial advances over the past decades, measuring innovation and innovativeness remains a challenge for both academic researchers and management practitioners. To address several key concerns with current indicators—such as their specialization and consequent one-sidedness, their frequent lack of theoretical foundations, and the fact that they may not really foster creativity and invention—this paper introduces some new metrics via one data-mining approach—formal concept analysis—which is increasingly used to represent and treat knowledge. This approach can adapt to particular needs and goals, incorporate various kinds of information (qualitative or quantitative) from different sources, and cope with several types of innovations. It also uncovers a logical route to novelty, which might enhance the generation of ideas and is used here to support the measurement of innovativeness.

     

Emergence of anti-coordination through reinforcement learning in generalized minority games

In this paper we propose adaptive strategies to solve coordination failures in a prototype generalized minority game model with a multi-agent, multi-choice environment. We illustrate the model with an application to large scale distributed processing systems with a large number of agents and servers. In our set up, agents are assigned responsibility to complete tasks that require unit time. They request servers to process these tasks. Servers can process only one task at a time. Agents have to choose servers independently and simultaneously, and have access to the outcomes of their own past requests only. Coordination failure occurs if more than one agent simultaneously requests the same server to process tasks at the same time, while other servers remain idle. Since agents are independent, this leads to multiple coordination failures. In this paper, we propose strategies based on reinforcement learning that minimize such coordination failures. We also prove a null result that a large category of probabilistic strategies which attempts to combine information about other agents’ strategies, asymptotically converge to uniformly random choices over the servers.

     

Bridging the research-practice divide: Harnessing expertise collaboration in making a wider set of contributions

Understanding how we develop research contributions which go beyond conversations in the academic field is an enduring challenge. While much has been written on the importance of academic-practitioner relationships in the research process more is needed on conceptualizing how we develop a wider set of contributions. In this paper, we call for researchers to be reflective as to how different forms of expertise can be drawn on during collaborative relationships to bridge the research – practice divide. We develop a framework which combines different levels of expertise with varying forms of academic-practitioner collaboration to widen the impact of our research. Four strategies are proposed by which academics may leverage their expertise in collaborative relationships with practitioners to develop Research Impact and Contributions To Knowledge (RICK). These include: maintaining critical distance, promoting deeper engagement, developing prescience, and achieving hybrid practices. We discuss implementation approaches for each of these RICK strategies and suggest writing genres to help increase engagement by practitioners in research contributions.     

Outsourcing a satisfied and committed workforce: a trucking industry case study

The steady growth of R&;D costs and the increasingly widespread dissemination of information and communication technology over the past decade have resulted in the affirmation of the paradigm of open innovation, which consists in the continual expansion of access to sources of technological innovation outside the firm itself. Industrial companies are, in fact, turning more frequently to collaboration with university departments and other public and private research centers, and there is a notable increase in agreements regarding technological cooperation and the exchange of know-how between companies. In addition, recourse to highly specialized small research companies is on the rise. This is common, for example in the pharmaceutical sector and, more generally, in the area of biotechnological research. Furthermore, we are witnessing the development of the new role of innovation broker. These factors alter the traditional profile of company R&;D structures, within which the role of researchers and technologists often changes. In particular, matrix and network organizational models are on the increase, and the professional figures of ‘integrators of knowledge and expertise’ (T-men) are assuming major importance at the expense of traditional scientists. As a consequence, the model for training and managing scientific personnel tends to change. This model, as it moves away from the prevailing pattern adopted by firms in Anglophone countries, is continually drawing closer, even from a cultural standpoint, to the R&;D management approach found in the Japanese and German companies. The aim of this article is to investigate how the adoption of open innovation has changed the organizational structures of R&;D and altered the methods used in managing its personnel. The results of the study are based on the analysis of four case studies of Italian multinational firms operating in the pharmaceutical, food, specialty chemical, and aerospace industries.     

How social enterprises manage their organizational identification: a theoretical framework of identity management approach through attraction,selection, and socialization

Abstract

Social enterprises, as a typical type of hybrid-identity organization, face identification tensions among members, arising from the divergent identities. Prior research has focused on how hybrid identities can be managed at the organizational level. However, the process through which identification emerges in hybrid-identity social enterprises remains relatively unexplored. This study addresses these gaps and aims to contribute to identity and identification theory. This research has taken a qualitative (case study) approach, with in-depth interviews and archival data from nine social enterprises in Taiwan. Our findings reveal three different types of responses to hybrid identities of social enterprises: synthesis, integration, and deletion. It is observed that different hybrid identities management and organizational identification management practices will lead to members’ identification and dis-identification. This research proposes an attraction-selection-socialization model, suggesting that, to foster identification, social enterprises need to manage their hybrid organizational identities and embed the new common identity into members’ daily work through attraction, selection, and socialization processes.     

Line managers’ AMO to manage employees’ performance: the route to effective and satisfying performance management

Abstract

Performance management systems are used to increase employees’ performance with the ultimate aim of increasing organizational performance. Organizations rely on line managers to implement performance management systems and to engage in a continuous process of goal-setting, feedback, coaching and performance appraisal with their employees. Drawing on the AMO theory, we predict that the effectiveness of performance management implementation will be a function of three factors. First, line managers should have the Ability to enact the activities that are involved in performance management. Secondly, they should be Motivated to perform these activities. Thirdly, line managers should have sufficient Opportunity to fulfill these activities on top of the demands from other organizational. If not, they could experience role conflict. We developed several cross-level hypotheses. The data came from 71 line managers and 318 employees working in Flemish education. Hierarchical linear modelling found that line managers’ AMO to implement performance management systems was positively related to employees’ satisfaction with the system. These relationships were mediated by employees’ perceptions that the performance management system is strong. A strong system signals that its features are salient across employees and that the system is clear and understood. This study has several theoretical and practical implications.