Capabilities, innovation and competitive advantage

This special issue was aimed at advancing the literature examining the role of capabilities in innovation-based competitive strategy. Whilst the innovation literature has over the years moved away from its ‘product innovation’ pre-occupation to capture the role of other forms of innovation in value creation, the capability view has progressed from its ‘rigid’ or ‘static’ view to a ‘dynamic’ view in an effort to capture market dynamism. Despite the recent theoretical advancements the dynamic capability view still lacks a strong empirical base. Contributors to the capability literature over the recent years have adopted multiple research methods to capture capabilities that include cross-sectional designs, case studies and longitudinal studies. Within this backdrop, the articles that were selected for this special issue covers both conceptual and empirical approaches to examine the relationship between capabilities and technical and non-technical innovations and performance outcomes. This essay provides a future research agenda to advance this promising research field. It highlights the need for clearer conceptualizations and development of measures of dynamic capabilities, environmental conditions that underpin the development of dynamic capabilities within the firm and research into the much debated relationship between dynamic capabilities and competitive advantage and organizational performance.     

On mandatory labeling of animal welfare attributes

This paper assesses US resident support for mandatory labeling of animal welfare information on pork and egg products and outlines policy considerations for assessment prior to implementing any mandatory labeling policies regarding animal welfare practices. Results suggest consumers support mandatory labeling indicating use of gestation crates (stalls) and laying hen cages. Estimates suggest consumers would be willing to pay about 20% higher pork and egg prices to obtain this production practice information. Demographic and latent perception drivers of this support are highlighted. Multiple issues that warrant consideration prior to imposing mandatory labeling are discussed revealing lines of corresponding future research.     

The venture capital entry model on game options with jump-diffusion process

This paper aims to apply game options to construct the optimal decision-making and management tool for venture capital (VC) firms. This model emphasizes the inferences with game options on the market structures formed by different competition and investment strategies of the two VC firms to reflect the investment returns. These market structures are classified into an entry-deterred game (specific monopoly), a leader's dominated strategies (duopoly), and simultaneous investment. It is considered how to select investment timing to avoid any potential competitive threats in order to provide the optimal expected threshold values for the investment decisions of VC firms.     

Scheduling deteriorating jobs with CON/SLK due date assignment on a single machine

This paper considers the problem of scheduling deteriorating jobs and due date assignment on a single machine. The actual processing time of a job is a linear increasing function of its starting time. The problem is to determine the optimal due dates and the processing sequence simultaneously to minimize costs for earliness, due date assignment and weighted number of tardy jobs. We present polynomial-time algorithms to solve the problem in the case of two popular due date assignment methods: CON and SLK.     

The interface of the energy and forest sectors—Potential players in the bioenergy business

The upcoming bioenergy business area opens up promising opportunities for the traditional energy and forest sectors. This has motivated us to study existing and potential bioenergy actors that could take up this unique opportunity and develop new business around the “green gold” of the forest. Light is shed on the interface between the energy and forest sectors through a comparison of the most focal bioenergy actors with traditional forest and energy companies. The analytical methods used include both parametric and nonparametric analysis of variance, and cluster analysis. The result is a better understanding of the players that have the potential to capitalize on the emerging business.     

Government Supply of Land in a Dual Market

A dual land market is one in which the government owns a significant portion of developable land while real estate development is done primarily by the private sector. This article examines Singapore's experience with its system of government land supply in a dual market, focusing on its response to market signals as well as the interaction with the significant private supply of land. The example is relevant to the general problem of government sales of valuable assets. The private supply of developable land behaves in line with expectations. The government response to price signals differs only modestly from that of private landowners.     

Shrinkage estimation of semiparametric multiplicative error models

Within models for nonnegative time series, it is common to encounter deterministic components (trends, seasonalities) which can be specified in a flexible form. This work proposes the use of shrinkage type estimation for the parameters of such components. The amount of smoothing to be imposed on the estimates can be chosen using different methodologies: Cross-Validation for dependent data or the recently proposed Focused Information Criterion. We illustrate such a methodology using a semiparametric autoregressive conditional duration model that decomposes the conditional expectations of durations into their dynamic (parametric) and diurnal (flexible) components. We use a shrinkage estimator that jointly estimates the parameters of the two components and controls the smoothness of the estimated flexible component. The results show that, from the forecasting perspective, an appropriate shrinkage strategy can significantly improve on the baseline maximum likelihood estimation.     

Assessing Cumulative Evidence within ‘Macro’ Research: Why Meta‐Analysis Should be Preferred Over Vote Counting

Understanding the conclusions a body of evidence offers involves accumulating findings. Two recent articles used vote counting to assess the evidence related to important macro theories: transaction cost theory and resource‐based theory. Each concluded that its focal theory is not well supported. In contrast, recent meta‐analyses of the same theories concluded that both are strongly supported. We explain why macro researchers should trust the findings of meta‐analyses but not those of vote counts. A direct implication is that researchers interested in advancing transaction cost and resource‐based theories need to build upon the meta‐analytic evidence. A broader implication is that, as the preferred method for accumulating evidence, meta‐analysis can be a catalyst for the re‐evaluation of established theories and the development of new theory.     

Behavioural Orientations of Non‐Profit Boards as a Factor in Entrepreneurial Performance: Does Governance Matter?

Relatively little is understood about factors triggering entrepreneurial behaviour within organizations not driven by profit motives. Governance plays an important role in non‐profits, particularly boards of directors. Integrating resource‐based theory and entrepreneurial orientation research, we examine the influence of non‐profit boards as strategic resources shaping the organization's entrepreneurial orientation and performance. In particular, we focus on the non‐profit board's underlying behavioural orientations, or the extent to which the board is strategic, activist, conservative, and cohesive. Findings from a cross‐sectional survey on arts and culture organizations demonstrate that three of these behavioural orientations impact levels of entrepreneurship occurring within non‐profits. Higher levels of entrepreneurship affect social performance, but not financial performance.     

Labour trends in agriculture: The case of the summer rainfall grain‐producing area

The impact of changes in the labour force on commercial agriculture has received little systematic research attention. In this study the major trends in the post‐war years are described and analysed. It is shown that there has been an increasing substitution of labour for capital over the past fifteen years. The causes of this substitution trend are identified, and it is shown that these should be taken into account in the formulation of farm policy. Labour trends in commercial agriculture also have implications for the broader Southern African economy, and some tentative remarks in this regard serve as motivation for further research.