The role of a firm's strategic orientation dimensions in determining market orientation

Little is known about how various strategic orientation dimensions determine market orientation. The authors identify four key dimensions of a firm's strategic orientation as critical antecedents to market orientation: the firm's aggressiveness, its future orientation, the extent of marketing formalization, and risk proclivity. Moderating effects of two environmental forces, competitive intensity and technology turbulence, are also considered in light of their relationship with various dimensions of strategic orientation and market orientation. Using a survey with firms spanning multiple industries, the proposed effects are tested with latent class analysis with multiple regimes. The results, based on an optimal two-regime solution, show that that although market orientation is significantly impacted by these strategic orientation dimensions, the pattern of influence differs based on a firm's membership in one of two regimes.     

Managing reverse logistics to enhance sustainability of industrial marketing

In this paper, a sustainable industrial marketing framework of latest requirement of green and sustainable operation is proposed. When literatures in strategy, marketing and operation have provided insight about the efficiency of reverse logistics and business value for the customer, the interrelationship is still under explored. This raises the question whether manufacturers could determine ecological friendly strategies to address their customer's environmental conscious needs and design the suitable solution to strike the balance between ecology and economics. Based on the case study of a medical product manufacturer, this study addresses this question by investigating how manufacturers identify the problem of reverse logistics; design and develop of sustainable product and service by enhancing the efficiency of operations, and market competencies that add value to their customers' business processes. Within the strategy for designing for effective reverse logistics, these findings contribute to understand the use of information system and technology for reverse logistics to enhance the customer's business process and provide value-added process for customer retention.     

Roles played by financial development in economic growth: application of the flexible regression model

This study presents the nonlinear relationship that exists between financial development and economic growth. This study applies the flexible nonlinear regression model of Hamilton (Econometrica 69(3):537–573, 2001) because it imposes no specification restrictions. Two empirical results are obtained. First, an inverted U-shaped relation between banking sector development and economic growth is identified. Namely, the two variables are positively linked before the turning point, but negatively linked after it. Second, a positive relationship with asymmetric √-shape between stock market development and economic growth is found.     

PRIVATIZATION,EMPLOYEE SHARE OWNERSHIP AND GOVERNANCE: THE CASE OF EIRCOM

ABSTRACT: Sizeable employee share ownership plans (ESOPs) have been a unique feature of Ireland's privatization programme. Since the sale in 1999 of the national telecommunications operator, Eircom, the norm has been to allocate 14.9 per cent of equity to employees. We examine the role of the Eircom ESOP in the post‐privatization governance of the company. We find that the ESOP sought to maximize returns to employees as shareholders rather than behave in the interests of a wider set of stakeholders. This is explained in terms of the internal governance of the ESOP, namely its structure and rules, as well as the composition and motivations of the board of the ESOP Trustee.     

Uncovered Interest Parity: Cross‐Sectional Evidence

Uncovered interest parity (UIP) is estimated for short‐term horizons from one month to 12 months using a large number of cross‐sectional bilateral exchange rates. In contrast to conventional time‐series UIP, cross‐sectional UIP is examined with a single‐equation estimation and panel regression model estimation. The exchange rates analyzed here include a broad spectrum of countries: developed, developing, low‐inflation, and high‐inflation countries. Based on the empirical evidence, there does not appear to be a well‐publicized UIP puzzle for cross‐sectional UIP, and the slope estimates remain largely between zero and one throughout the sample periods, with a few exceptions. Evidence of UIP is more clear for low inflation countries than for high inflation countries. As interest rate maturity becomes longer from one month to 12 months, the UIP relationship becomes weaker.