Conceptualizing businesses as social actors: A framework for understanding sustainability actions in small‐ and medium‐sized enterprises

Small‐ and medium‐sized enterprises (SMEs) can play a crucial role in advancing environmental and social well‐being. Yet various—often conflicting—explanations have been offered to clarify why SMEs pursue sustainability. Some arguments foreground possibilities of profit maximization, whereas others emphasize individual values and convictions. Research supporting such contradicting explanations is often biased towards large enterprises or small, innovative frontrunners. In this article, we examine the underlying drivers of social and environmental interventions of SMEs by exploring empirical data from a survey of over 1,600 Canadian SMEs and complementary in‐depth interviews. We argue that sustainability actions of SMEs can be understood by viewing these firms as social actors—organizations that are shaped by individual values, internal and external interpersonal relationships, and are embedded in a social environment. This conceptualization directs attention to the full range of factors that shape sustainability engagement of SMEs and highlights frequently overlooked forms of sustainability‐oriented actions.     

Combine harvesting

Mix the wisdom of internal and external networks and you might just come up with brilliant and unexpected solutions to apparently intractable problems. Julian Birkinshaw and Stuart Crainer report on how Roche Diagnostics is exploring an experimental approach to harvesting bright ideas.     

The innovation value chain

The challenges of coming up with fresh ideas and realizing profits from them are different for every company. One firm may excel at finding good ideas but may have weak systems for bringing them to market. Another organization may have a terrific process for funding and rolling out new products and services but a shortage of concepts to develop. In this article, Hansen and Birkinshaw caution executives against using the latest and greatest innovation approaches and tools without understanding the unique deficiencies in their companies' innovation systems. They offer a framework for evaluating innovation performance: the innovation value chain. It comprises the three main phases of innovation (idea generation, conversion, and diffusion) as well as the critical activities performed during those phases (looking for ideas inside your unit; looking for them in other units; looking for them externally; selecting ideas; funding them; and promoting and spreading ideas companywide). Using this framework, managers get an end-to-end view of their innovation efforts. They can pinpoint their weakest links and tailor innovation best practices appropriately to strengthen those links. Companies typically succumb to one of three broad "weakest-link" scenarios. They are idea poor, conversion poor, or diffusion poor. The article looks at the ways smart companies - including Intuit, P&G, Sara Lee, Shell, and Siemens- modify the best innovation practices and apply them to address those organizations' individual needs and flaws. The authors warn that adopting the chain-based view of innovation requires new measures of what can be delivered by each link in the chain. The approach also entails new roles for employees "external scouts" and "internal evangelists," for example. Indeed, in their search for new hires, companies should seek out those candidates who can help address particular weaknesses in the innovation value chain.     

Participation index: a measure to identify rural transport disadvantage?

This paper develops a composite participation index (PI) to identify patterns of transport disadvantage in space and time. It is operationalised using 157 weekly activity-travel diaries data collected from three case study areas in rural Northern Ireland. A review of activity space and travel behaviour research found that six dimensional indicators of activity spaces were typically used including the number of unique locations visited, distance travelled, area of activity spaces, frequency of activity participation, types of activity participated in, and duration of participation in order to identify transport disadvantage. A combined measure using six individual indices were developed based on the six dimensional indicators of activity spaces, by taking into account the relativity of the measures for weekdays, weekends, and for a week. Factor analyses were conducted to derive weights of these indices to form the PI measure. Multivariate analysis using general linear models of the different indicators/indices identified new patterns of transport disadvantage. The research found that: indicator based measures and index based measures are complement each other; interactions between different factors generated new patterns of transport disadvantage; and that these patterns vary in space and time. The analysis also indicates that the transport needs of different disadvantaged groups are varied.     

Modularization of hybrid censoring schemes and its application to unified progressive hybrid censoring

In this paper, a structural analysis of hybrid censoring models is presented. This new modularization approach to hybrid censoring models enables a convenient derivation of distributional results. For instance, it allows to derive the exact distribution of the MLEs under an exponential assumption for very complex hybrid scenarios. In order to illustrate the benefit of this idea, we apply it to four new unified progressive hybrid censoring schemes. They are extensions of already proposed unified Type-I/II/III/IV hybrid censoring schemes to progressively Type-II censored data. The resulting analysis shows that the modularization approach provides a powerful, efficient, and elegant tool to study even more complex hybrid censoring models.     

An empirical model of attendance factors at major sporting events

Sports events represent a major category of event revenue contributing economic benefits to cities and regions. Whilst attendance at sports events is recognised as an important leisure and entertainment activity (Shamir and Ruskin, 1984), over the past 20 years sports event attendance expenditure has been declining as a percentage of total recreation expenditure (Ross, 2006). Consequently, an understanding of the factors that influence sports event attendance is crucial to the sustainability of these events. This study identifies the antecedents of sports event attendance among 460 respondents who were surveyed in Melbourne, a city that was recognised as the Ultimate Sports City in 2008 (Church-Sanders, 2008). Structural Equation Modelling was used to create an empirical model of attendance motivations. The model identifies constructs relating to emotional responses and facilities, as the predictors of event attendance and provides a discussion of the implications of this research for sporting event and hospitality managers.     

How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk

Research summary: This article explores the relationship between corporate social irresponsibility (CSI) and financial risk. We posit that media coverage of CSI generates risk by providing conditions that increase the potential for stakeholder sanctions. Through analyzing an international panel of 539 firms during 2008–2013, we find that firms receiving higher CSI coverage face higher financial risk. We show that the reach of the reporting media outlet is a critical condition for this relationship. Once the outlet has a high reach, the severity of CSI coverage is a boundary condition that further reinforces the effect. Our findings complement existing theory about the risk‐mitigating effect of corporate social responsibility by illuminating the risk‐generating effect of CSI coverage. For executives, these insights suggest complementary strategies for corporate risk management. Managerial summary: This article examines the effect of negative news on financial risk. It shows that negative media articles regarding environmental, social, and governance (ESG) issues increase a firm's credit risk. It also provides a detailed analysis of the impact of an article's reach and severity, i.e., how many readers are exposed to the article and how harshly it criticizes the firm. The results allow to quantitatively assess the risk that emanates from negative ESG news. For executives, three strategies are derived for limiting a firm's exposure to this risk: balancing corporate social responsibility programs with operational safety programs, reporting suboptimal environmental and social performance transparently and proactively, and avoiding acquisition targets and markets with a legacy of negative news. Copyright © 2017 John Wiley & Sons, Ltd.     

The Tunisia Wheat Market in the Context of World Price Volatility: A Stochastic Partial Equilibrium Approach

Food security is a key objective of agricultural and food policy in Tunisia. The 2007–2008 food crisis highlighted the negative impacts of price volatility on international markets both in terms of food insecurity and budget exposure. Tunisian food subsidy expenditures ranged from $180 million to $710 million in 2006–2010, so volatile world prices meant volatile subsidy costs. Moreover, cereal production in Tunisia still has much instability due to climate conditions, which also influences imports and, consequently, subsidy expenditures. This study applies a structural model to conduct stochastic analyses of trade and policy impacts on food security and budget expenditures in the Tunisian wheat market. The methodology disaggregates durum wheat and soft wheat markets and generates projections of import prices of durum wheat and soft wheat, using projections of world prices provided by the Food and Agricultural Policy Research Institute at University of Missouri (FAPRI-MU). The key innovation is the generated stochastic analyses of subsidy costs based on stochastic world price projections and stochastic domestic wheat yields based on historic yield variances. The analysis highlights the sensitivity of subsidy costs to world prices, volumes imported and domestic production, so that alternative policy tools can be considered.