Estimation of technical change and price elasticities: a categorical time–varying coefficient approach

We propose a categorical time-varying coefficient translog cost function, where each coefficient is expressed as a nonparametric function of a categorical time variable, thereby allowing each time period to have its own set of coefficients. Our application to U.S. electricity firms reveals that this model offers two major advantages over the traditional time trend representation of technical change: (1) it is capable of producing estimates of productivity growth that closely track those obtained using the Törnqvist approximation to the Divisia index; and (2) it can solve a well-known problem commonly referred to as “the problem of trending elasticities”.     

Machine learning in M4: What makes a good unstructured model?

The Makridakis Competitions seek to identify the most accurate forecasting methods for different types of predictions. The M4 competition was the first in which a model of the type commonly described as “machine learning” has outperformed the more traditional statistical approaches, winning the competition. However, many approaches that were self-labeled as “machine learning” failed to produce accurate results, which generated discussion about the respective benefits and drawbacks of “statistical” and “machine learning” approaches. Both terms have remained ill-defined in the context of forecasting. This paper introduces the terms “structured” and “unstructured” models to better define what is intended by the use of the terms “statistical” and “machine learning” in the context of forecasting based on the model’s data generating process. The mechanisms that underlie specific challenges to unstructured modeling are examined in the context of forecasting, along with common solutions. Finally, the innovations in the winning model that allowed it to overcome these challenges and produce highly accurate results are highlighted.     

Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing1

This paper stresses the bimodality of the likelihood function of the Mixed causal–noncausal AutoRegressions (MAR), and it is shown that the bimodality issue becomes more salient as the causal root approaches unity from below. The consequences are important as the roots of the local maxima are typically interchanged, attributing the noncausal component to the causal one and vice-versa. This severely changes the interpretation of the results, and the properties of unit root tests of the backward root are adversely affected. To circumvent the bimodality issue, this paper proposes an estimation strategy which (i) increases noticeably the probability of attaining the global MLE; and (ii) selects carefully the maximum used for the unit root test against a MAR stationary alternative.     

Women’s entrepreneurship: A model of business-family interface and performance

Recently, there are renewed calls to develop new models addressing the intricacies of women-owned businesses and the women that head them. A new conceptual model of women’s entrepreneurship that involves relationships between business-family-interface and firm performance is introduced in our paper. We test the model based on data from countries around the world and show that the model’s links depend on the country context. As a result, we identify new boundary conditions to the domain of female entrepreneurship. Implications are discussed.     

The gender diversity–performance relationship in services and manufacturing organizations

Empirical findings on the link between gender diversity and performance have been inconsistent. This paper presents three competing predictions of the organizational gender diversity–performance relationship: a positive linear prediction derived from the resource-based view of the firm, a negative linear prediction derived from self-categorization and social identity theories, and an inverted U-shaped curvilinear prediction derived from the integration of the resource-based view of the firm with self-categorization and social identity theories. This paper also proposes a moderating effect of industry type (services vs. manufacturing) on the gender diversity–performance relationship. The predictions were tested in publicly listed Australian organizations using archival quantitative data with a longitudinal research design. The results show partial support for the positive linear and inverted U-shaped curvilinear predictions as well as for the proposed moderating effect of industry type. The curvilinear relationship indicates that different proportions of organizational gender diversity have different effects on organizational performance, which may be attributed to different dynamics as suggested by the resource-based view and self-categorization and social identity theories. The results help reconcile the inconsistent findings of past research that focused on the linear gender diversity–performance relationship. The findings also show that industry context can strengthen or weaken the effects of organizational gender diversity on performance.     

Boards of directors in Russian publicly traded companies in 1998–2014: Structure,dynamics and performance effects

This article provides new evidence on the structure, dynamics and performance effects of corporate boards in publicly traded companies in Russia. It takes advantage of a new and unique longitudinal dataset of virtually all Russian companies whose shares were traded in the RTS/MICEX/MOEX over 1998–2014. The analysis highlights a number of strong trends in the evolution of boards of directors, such as a declining participation of insider directors and an increasing participation of foreign and female directors. It also shows that board characteristics are linked to company performance (market-to-book ratio, Tobin’s Q, ROE and ROA), suggesting that boards of directors play a non-trivial role in corporate governance in Russia. Testing for structural breaks in the relationship between board composition and firm performance provides some evidence of the changing role of corporate boards over time.     

Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance

A growing number of studies and evidence from industries suggest that, besides managing the relationship with its suppliers, a buyer needs to proactively manage the relationships between those suppliers. In a buyer–supplier–supplier relationship triad, the buyer, as the contracting entity, influences the suppliers’ behaviors and the relationship between them. By considering the relationships in such a triad, we are able to gain a richer and more realistic perspective of buyer–supplier relationships. In this study, our goal is to examine supplier–supplier relationships in buyer–supplier–supplier triads, focusing on how such relationships impact the supplier performance. We frame the supplier–supplier relationship as co-opetition—one in which competing suppliers work together to meet the buyer's requirements. We investigate the role of the buyer on such relationships, and how the buyer and co-opetitive supplier–supplier relationships affect supplier performance. We find mixed empirical support for our hypotheses. However, we are able to demonstrate the dynamics of supplier–supplier co-opetition in the buyer–supplier–supplier triad. We point out the need for further studies in this area.     

Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships

Inter-organizational communication has been documented as a critical factor in promoting strategic collaboration among firms. In this paper, we seek to extend the stream of research in supply chain management by systematically investigating the antecedents and performance outcomes of inter-organizational communication. Specifically, inter-organizational communication is proposed as a relational competency that may yield strategic advantages for supply chain partners. Using structural equation modeling, we empirically test a number of hypothesized relationships based on a sample of over 200 United States firms. Our results provide strong support for the notion of inter-organizational communication as a relational competency that enhances buyers’ and suppliers’ performance. Implications for future research and practice are offered.     

Challenges and prospects of HRM in developing countries: testing the HRM–performance link in the Eritrean civil service

In this article, the authors examine how, when and to what extent HR practices affect performance at the employee level. As performance is a multi-faceted and complicated concept, HRM outcomes were used as mediating factors between HR practices and employee performance. The data were collected among civil servants in Eritrea, Africa's youngest and poorest country. Although the results generally are in line with previous studies using Western data, their implications in this particular country may be different. Therefore, the challenges and prospects of HR practices in Eritrean civil service organizations are critically analysed and discussed. In the authors' opinion, that the Eritrean economic and political environment within which HR practices operate has not been conducive in maximizing the impact of HR practices on performance. These findings highlight the situation of most developing countries.     

The roles of implementation and organizational culture in the HR–performance link

This article attempts to (1) explore the process by which a high-performance work system (HPWS) affects firm performance and (2) demonstrate the mediating role of implementation and organizational culture in the HPWS-performance link. The proposed model was tested using a sample of 243 Hong Kong and Taiwanese firms operating in Guangdong, China. The results from the present study supported the hypothesized mediation of implementation and organizational culture on the HR–performance relationship. This study offers important insights into the mediating mechanism of the HPWS-performance research. Implications for research and managerial practices are provided.     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

Public Money and Mickey Mouse: Evaluating performance and accountability in the Hong Kong Disneyland joint venture public–private partnership

Abstract

Joint venture public–private partnerships (PPPs) allow partners to share in the risks and rewards of joint production. But the literature offers little theoretical guidance on assessing performance and accountability in this type of PPP. This article fills this gap by examining joint ventures as PPPs and formulates a comprehensive performance evaluation framework. Its application to the case of Hong Kong’s Disneyland Resort reveals a project that has endured several challenges related to achieving objectives, ensuring cooperation among partners, and upholding principles of democratic accountability. Outcomes from this study offer new insight into an underexplored aspect of PPP research.     

OCB and external–internal social networks: effects on individual performance and adaptation to change

In this study, we develop and test a model that links one's internal and external social network structures to his or her willingness and ability to adapt in a changing work context. Using a survey data from 371 employees working in 133 different branches of a large financial firm, we find that individual behaviors that explain task performance and individual adaptation to change are affected by a number of supportive social ties (size of the support network) with which one receives support inside and, mostly, outside the workplace. The results also show that individual performance and adaptation to change are affected by the level of workers' organizational citizenship behavior. We also identify a mediating effect exerted by the informational network structure (mostly an internal network) on the relationship between the support network (mostly an external network) and individual task performance.     

Aspects of complexity in citizen–bureaucrat corruption: an agent-based simulation model

In this paper, the complexity-based approach is used to analyse corruption and its internal economics and dynamics. To better understand the drivers of corruption, we employ an agent-based model with heterogeneous agents (bureaucrats and citizens), the interactions of which determine the level of corruption in a society. The emergence of a prevailing social norm of corruption is shown to be significantly influenced by the initial conditions (i.e., history and habits). A cost analysis demonstrates that a relatively limited financial investment is required for the phase transition from the corrupt to the non-corrupt state. The concept of opportunity costs is used to express the value of information shared within an agent’s social group that improves agent decision-making. Incomplete information and uncertainty in the legal system help to reduce corruption by promoting a fear of engaging in corruption in a society. The results of this research may offer useful insights for informing an effective anti-corruption policy.

     

The Holmström–Milgrom model: a simplified and illustrated version

In principal-agent theory, Holmström (1979, Bell Journal of Economics, 10, 74–91) offers the canonical model including a hidden one-shot action taken by an agent contracted to provide effort. Holmström's classical investigation led to an important body of applied literature. In investigating a specification in which effort is a sequence of actions, Holmström and Milgrom (1987, Econometrica, 55, 303–328) were able to provide a proof of the optimality of linear reward schemes (in the one-shot model, reward schemes are never linear). The sequence-of-actions model has a corresponding (static), very tractable companion. In this paper a simplified and illustrated version of this model is presented.     

Inflation and stabilization in Latvia: 1918–1922

The central European stabilization efforts of the interwar period, based on fiscal cuts coupled with the adoption of a pegged exchange rate and external support are often portrayed as prototypes defining the necessary conditions for successful stabilizations. While prevalent, the orthodox package was not universal in the period. We examine one exception, the Latvian stabilization of 1921–1922. Commencing from a background of multiple circulating currencies, the stabilization program was money-based, implemented without external assistance and followed rather than accompanied by exchange rate stabilization.     

The banking industry after the Riegle–Neal Act: re-structure and overall performance

The passage of the Riegle–Neal Interstate Banking and Branching Efficiency Act (IBBEA) of 1994 allowed bank holding companies to acquire banks in any state after September 30, 1995. We examine the impact of the legislation on the performance of the banking industry by comparing performance measures of banks with their pre-IBBEA levels. We find that the performance improved in the post-IBBEA period but when controlled for general economic conditions and interest rate movements, the impact of IBBEA on bank performance appears insignificant.     

Non-smooth dynamics and multiple equilibria in a Cournot–Ramsey model with endogenous markups

We consider a Ramsey model with a continuum of Cournotian industries where free entry generates an endogenous markup. The model produces two different regimes, monopolistic and Cournotian monopolistic competition, resulting in non-smooth dynamics. We analyze the global dynamics of the model, demonstrating it may exhibit heteroclinic orbits connecting multiple equilibria. Small transitory changes in parameters can lead to large permanent effects and there can be a poverty trap separating a low-capital and high-markup equilibrium from a high-capital low-markup equilibrium. We apply results from the mathematics of non-smooth dynamic systems, which provide a more general framework for understanding regime switching.     

Port industry performance management: a meso-level gap in literature and practice?

Over the past decades, literature has been focusing increasingly on performance management. A great deal of studies have pointed out that performance management has evolved from mere financial measurements to a multitude of indicators, and that the subject being measured can range from micro-level (an organisation), meso-level (industry) to macro-level (regional or national) performance. The authors will research which academic literature has focused on the performance measurement and management of the meso-level and how that is translated in practice, with special attention for the port industry. In practice, the authors observe that mostly so-called ‘observatories’ are responsible for monitoring the performance of infrastructure industries. Within this context the authors will examine the cooperative efforts of the past 20 years between universities and the European port industry. Based on this analysis, research and policy recommendations will be made on industry performance management, with specific consideration for port industry performance management.     

Fostering societal impact and job satisfaction: the role of performance management and leader–member exchange

ABSTRACT

Performance management (PM) can alienate employees from experiencing societal impact. This is problematic since societal impact influences employees’ job satisfaction. To avoid such unintended effects, we investigate two conditions under which PM could instead benefit the societal impact and job satisfaction of employees: consistency and leader-member exchange. Results show consistent PM fosters job satisfaction, mediated by societal impact and moderated by leader–member exchange. Public organizations should streamline expectations communicated through PM and constructive leader relationships could reinforce this process. By examining the conditions under which PM can avoid unintended effects on employees, we add to the debate on PM effectiveness.