Search results

Interorganizational partner selection decisions are plagued with uncertainty. When making partnering decisions, firms strive to answer two questions: does the prospective partner have resources which can be used to generate value in the relationship; and will the partner be willing to actively share these resources and cooperate in good faith? Answers to these questions help reduce three types of uncertainty – partner capability uncertainty, partner competitiveness uncertainty and partner reliability uncertainty. For a relationship to benefit both partners, they have to possess complimentary resources of comparable quality, avoid explicit competition as well as be willing to engage in the cooperative behaviors within the confines of their relationship. In this paper, we examine the importance of prospective partners’ characteristics (differences in size, status and specialization) as well as their network characteristics (existence of a common partner and membership in the same clique) to the formation and longevity of their social relationships, as these characteristics reduce firms’ value generation and partner reliability uncertainty.

The present study develops an international joint venture (IJV) partner selection framework to explain the choice between state-owned or privately owned local partners in the context of emerging economies. We suggest that once an IJV is selected as the mode of entry, a multinational enterprise's strategic motivations – that is, efficiency seeking, market seeking and knowledge seeking – will influence its choice of IJV partner type: state-owned enterprise or privately owned firm. We argue that liability of foreignness and rule of law moderate the multinational enterprise's selection of IJV partner type.

The emerging roles of management accountants as either hybrid accountants or business partners are a cause for much debate in the literature. Of the two characteristics related to these roles, namely information provider and interpreter, and decision-maker, the latter remains under-researched. The present study adds to the decision-maker debate by examining business decision-making involvement. Survey responses from a diverse sample of mostly Institute of Management Accountants (USA) and Chartered Institute of Management Accountants (UK) members were obtained and analysed to examine their current business decision-making involvement, including an investigation guided by role theory into possible contextual factors associated with different levels of decision-making involvement. The business decision-making involvement of management accountants varies significantly, and is less pervasive than widely believed. A significant proportion (53%) of management accountants in traditional management accounting positions report no, or limited, business decision-making involvement. Management accountants employed in smaller firms, and middle-aged professionals, are more likely to be involved in making business decisions. The inverted u-shaped association between age and decision-making involvement identified in this study, requires further investigation. The large cross-sectional analysis of the present study extends prior research which was mostly narrowly focussed due to its case study nature. The varying levels of decision-making involvement, and contextual variables associated with higher level involvement, shed some light on the intricacies of the role of management accountants. Professional associations and educators should note that the roles of today’s management accountants vary greatly between information provider and decision-maker.

This chapter investigates how small- and medium-sized enterprises and large firms decide the sourcing strategies to explore and exploit. This study adopts a qualitative methodology and reports on the insights derived from interviews with 35 companies and 2 experts. A series of propositions are derived, and these propositions are used to propose a height–distance view of exploration and exploitation. The implications for theory and managerial practice are presented in the concluding remarks.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

In this study, we seek to broaden the research focus in the strategic alliance literature from a firm's “partner strategy” to its “network strategy” by linking a firm's partnering choices to changes in its network position over time. Using data on all underwriting syndicates in Canada over nearly 40 years, we conceptualize and model the interplay between an investment bank's own and its partners’ syndicate participation. Our findings indicate that the lead banks, which have greater discretion in choosing syndicate partners than co-lead banks, are more likely to make partner selections that create bridging positions that provide access to timely and non-redundant information as well as opportunities to play a broker role across unconnected others. We also find, however, that lead banks’ bridging positions deteriorate when they form ties with other lead banks. Network-based competitive advantages are thus influenced by network opportunities and constraints as well as partner-specific concerns, suggesting that new insights into the dynamics of interfirm networks and competitive advantage of firms are possible within this broader view.

With the advent of the resource-based and dynamic capabilities views of the firm, researchers of collaborative relationships have raised the question as to whether superior management of such relationships does indeed explain observed differences in collaborative performance of individual firms. While most research to-date has concentrated on antecedents and development of such management capabilities, in this chapter we propose a comprehensive construct aimed at capturing what constitutes collaborative capability. Results of an exploratory field study of vertical relationships in the software service sector suggest that collaborative capability consists of structural, cognitive, and affective dimensions. Based on our findings, we believe that the three dimensions of collaborative capability act as complements rather than substitutes, and that superior collaborative performance depends on a proper balance of the three dimensions.

The importance of community-based organizations to support relief works in the aftermath of disasters is widely recognized as indispensable in providing quickly the needed help for affected populations (Bajek, Matsuda, & Okada, 2008; Nagasaka, 2008; Norris, Stevens, Pfefferbaum, Wyche, & Pfefferbaum, 2008; Shaw & Goda, 2004; Suzuki, 2006). Although communities’ involvement in rescue operations is essential, their role in rehabilitation and future disaster preparedness activities is equally important in the process of forming a disaster-resilient society (Nagasaka, 2008). Furthermore, the level of interaction between local authorities and communities within different phases (preparedness, relief, and rehabilitation) of the disaster management cycle requires attention to effectively implement community-based disaster risk reduction (CBDRR).