Knowledge of Inter-customer Relations as a Source of Value Creation and Commitment in Financial Service Firm's Intermediation

This paper develops a knowledge perspective on value creation in organisations that employ mediating technology to facilitate inter-customer relations. Mediators, individually and collectively, build networks of customers between whom linking can take place, and they provide services that facilitate inter-customer exchanges. Earlier research has shown the importance of size and standardisation in mediation. A different stream of research has shown that contextual knowledge is important for problem solving and innovation in organisations. Combining theories of mediating technology and situated problem solving, the paper posits that inter-customer relations constitute the fundamental context for value creation of firms using the mediating technology. LISREL is used to test relationship-level, cross-sectional hypotheses that link knowledge of inter-customer relationships, added value, and customer commitment to bank services for small firms. This work extends Thompson's work on mediating technology with implications for organisation action by demonstrating that mediators' knowledge of inter-customer relationships is an important resource in intermediation. Three contributions are made to strategic management and organisation theory. First, the paper provides a deeper understanding of the relationship between knowledge and committed customers. Second, fundamental resources are developed for firms using mediating technology. Finally, the use of the situated knowledge concept is extended to inter-customer relations, thus explaining performance beyond the contexts to which the concept has previously been applied. The findings have implications for segmentation practices, organisation domain decisions and the corresponding organisational structures, and practices that can provide effective service to inter-customer relations rather than to atomistic independent customers.     

What determines the efficiency of Australian mining companies?

We examine the firm‐specific determinants of technical efficiency in Australian mining companies using data envelopment analysis (DEA). To do so, we employ panel data sourced from individual mining companies listed on the Australian Securities Exchange (ASX) over the period 2010–2014. To ensure valid statistical inference in the presence of serial correlation between DEA efficiency scores, we apply Simar and Wilson's two‐stage bootstrap method. We find that ownership concentration, firm size, firm age, product portfolio, product diversification and growth status significantly contribute to efficiency gains. However, other firm‐specific factors, such as capacity utilisation, financial risk and overseas operations appear to have limited impact on the technical efficiency of mining firms.     

Prioritizing Brand Equity Methods From Customers’ Perspective for the Food Industry

Brand equity assessment is an important measurement of strategic value for internal use as well as for external stakeholders. Although there are a number of methods available for brand evaluation, it is still uncertain which approach is best. Yet almost no research exists that has prioritized the existing brand equity methods from the perspective of different stakeholders through a survey. In this article a model is developed for prioritizing brand equity methodologies from the viewpoint of customers as a stakeholder of brand equity. The developed model can help businesses to deploy a brand equity methodology that best considers the criteria of their customers as one of their key stakeholders. The criteria of this process are the expectations of customers from a brand. The priority of these criteria sets via a structured questionnaire filled by customers. Then the analytical hierarchy process (AHP) incorporates to prioritize the methodologies versus these criteria. This study set out to prioritize the brand equity pool to help practitioners and academics in assessing the alternative techniques and selecting the most relevant one that measures the most important criteria of brand in the eyes of customers.     

Willingness to pay for brands: a cross‐region,cross‐category analysis

Using survey data collected in multiple locations (California and Texas in the United States and Revohot in Israel), we quantify category‐ and location‐specific variations of consumers’ willingness to pay (WTP) for brand products after controlling for consumer characteristics. We find that consumers have a similar qualitative assessment of brand value in different product categories across different locations. That is, consumers have a stronger preference and higher WTP for brands in consumer electronics, followed by clothing and then processed food, and the lowest in fresh produce. Furthermore, we simulate price premiums and market shares of brands relative to generic products in different categories. Simulation results suggest that brands in fresh produce have the highest price premium but lowest market share. Despite the similarities, the magnitude of WTP for brands as well as the simulated price premium and the corresponding market share in the same product category are location variant. The similarities and dissimilarities suggest validity of having global brand strategies adapted to local conditions, that is, the so‐called “thinking globally and acting locally” strategy.     

Risk, uncertainty, and learning in adoption of a crop innovation

Risk and uncertainty have often been suggested as causes of poor adoption of rural innovations, but empirical evidence has been scarce. This study focuses on a new crop‐type, chickpeas, in Western Australia to gather such evidence. The empirical models developed are based on a theoretical framework that conceptualizes adoption as a dynamic decision process involving information acquisition and learning‐by‐doing by growers who vary in their managerial abilities, risk preferences, and their perceptions of the profitability and riskiness of the innovation. Learning encompasses improvements in skill as well as reductions in uncertainty. An annual face‐to‐face survey of over 100 farmers was conducted over 3 years, eliciting the farmers' risk attitudes and their subjective distributions of yields and prices. Two limited dependent variable models, Tobit and Probit, are used to estimate the empirical model. There is a high degree of goodness‐of‐fit for both models. The study provides strong empirical support for the primarily economic character of the adoption decision, and highlight the importance of economic risk in the process. The two risk‐related factors with greatest impact on the adoption decision were risk aversion and relative riskiness of the innovation. Risk aversion tended to reduce adoption, and to do so to a greater extent as relative riskiness and scale increased. Results also reveal the key role that trialing of the innovation plays in adoption.     

Seasonality patterns in dry bulk shipping spot and time charter freight rates

This paper investigates the nature of seasonality (deterministic and/or stochastic) in dry bulk freight rates, and measures and compares it across freight rates of different vessel sizes (Capesize, Panamax and Handysize), contract duration (spot, 1-year and 3-year time charters) and market conditions (peaks and troughs). Although, there is no evidence of stochastic seasonality, deterministic seasonality in freight rates is found to be varying from −18.2% to 15.3% in individual months within a year. Spot rates for larger vessels exhibit higher seasonal fluctuations compared to smaller vessels, although differences in seasonal fluctuations between sectors are eliminated as the contract duration increases. Also, for each vessel size, the seasonality declines as the contract duration rises. Asymmetries in seasonal fluctuations in freight rates over different market conditions are attributed to the high and low elasticities of supply expected under the respective market conditions. The results have implications for tactical shipping operations such as timing of dry-docking, chartering strategies and switching between freight markets.     

‘Managerialism’, ‘ownerism’ and risk

This paper proposes that managers, having the value of their human capital dependent on the performance of the firm they manage, and being unable to diversify away this risk, are expected to attempt to reduce their employment risk internally by project selection or by income smoothing, intended to stabilize the firm's income stream. An empirical investigation shows that manager-controlled firms exercise ‘income smoothing’ to a greater extent than owner-controlled firms, have relatively lower unsystematic risk and perhaps lower systematic risk.     

The moderating effect of innovation on the relationship between environmental and financial performance: Evidence from high emitters in Australia

This study examines whether environmental-related innovation moderates the association between environmental and financial performance measured respectively as carbon emissions and return on assets (ROA). The sample comprises 119 companies subject to Australia's National Greenhouse Energy Reporting Act (NGER) for the period 2009–2017. The results show that environmental innovation positively moderates the relationship between environmental performance and financial performance. The findings also imply that the impact of environmental innovation in improving environmental performance is observable with a 1-year lag. The results are robust to the alternative financial performance measures of Tobin's Q and Altman's Z score. The findings have important implications for company managers and policymakers and provide useful information on innovation's role in enhancing environmental and financial performance.     

On Environmental Regulation of Oligopoly Markets: Emission versus Performance Standards

By specializing Montero’s (J Environ Econ Manag 44:23–44, 2002) model of environmental regulation under Cournot competition to an oligopoly with linear demand and quadratic abatement costs, we extend his comparison of firms incentives to invest in R&D under emission and performance standards by solving for a closed form solution of the underlying two-stage game. This allows for a full comparison of the two instruments in terms of their resulting propensity for R&D and equilibrium industry output. In addition, we incorporate an equilibrium welfare analysis. Finally, we investigate a three-stage game wherein a welfare-maximizing regulator sets a socially optimal emission cap under each policy instrument. For the latter game, while closed-form solutions for the subgame-perfect equilibrium are not possible, we establish numerically that the resulting welfare is always larger under a performance standard.