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The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

In this chapter, six cases are presented, four from Poland and two from Hungary. The Polish cases are Partec Rockwool, PLM, Bulten Tools, and Vattenfall, while Svedala and Getinge belong to Hungary.

The cases have been described in different phases following the conceptual framework, developed in chapter six. All cases we present in three phases except Svedala where there are two phases. In the later case, neither the alliance nor the partners could be traced. Among the cases, level of performance varied. Getinge is the only case where the partners continued with the same alliance and the ownership structure remained unchanged. In Partec, the foreign partner acquired the local shares to establish a wholly owned subsidiary, and in Bulten Tool, the foreign partner became the major owner to have control over the company. Partec Rockwool and Vattenfall had been sold to other companies after amicable settlement between the partners.

This paper develops an argument about how contentious changes unfold in organizational fields, focusing on the role of uncertainty – and the networks people use to address uncertainty. We propose that as controversial practice gains traction and spreads, the nature of uncertainty facing organizational decision makers also evolves. This dynamic has important implications for how different actors and networks can influence change. We illustrate our argument with a mixed-methods case study on the diffusion of domestic partner benefits across US Fortune 500 companies. Our findings shed light on how – and when – social activists, corporate elites, and middle managers can influence the corporate decision-making process.

This paper focuses on the role of manufacturer brands for resellers within retail channels. This topic is important because of the strategic value of manufacturer brands and the increasing influence of resellers within channels of distribution. Much of the branding research emphasizes a customer-brand knowledge perspective; however, emerging perspectives suggest that brands are also relevant to other stakeholders including resellers. In contrast, channels research recognizes the manufacturer sources of market power, but does not consider the impact of manufacturer “push and pull” strategies within channels. Existing theoretical frameworks, therefore, do not address the reseller perspective of the brand. As a result, the research approach is a multi-method design, consisting of two phases. The first phase involves in-depth interviews, allowing the development of a conceptual framework. In the second phase, a survey of supermarket buyers on brands in several product categories tests this framework. Structural equation modeling analyzes the survey responses and tests the hypotheses. The structural model shows very good fit to the data with good construct validity, reliability, and stability. The findings show that manufacturer support, brand equity, and customer demand reflect the manufacturer brand benefits to resellers. A key contribution of this research is the development of a validated scale on manufacturer brand benefits from the point of view of a reseller. This research shows that the resources that relate to the brand, not just the brand name itself, create value for resellers in channel relationships.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Purpose: Status characteristics theory assumes that the effects of status on performance expectations will be the same for both high and low status actors. However, this may not be true in all situations. Prior work suggests that in some situations, high status actors may ignore new information that should lower their position within a group's power and prestige order (Kalkhoff, Younts, & Troyer, 2011), making them resistant to status loss.

Methods: In a laboratory experiment, I introduced new status information to participants that contradicted their prior status position within a sequence of groups working on the same task.

Findings: Results show new status information that contradicts prior status orders is less influential on the expectations of initially high status actors, supporting the result initially reported by Kalkhoff et al. (2011). Additionally, I show this effect exists for two task-oriented behaviors, resistance to influence and response latency.

Contribution: This experiment suggests a “sticky expectations” effect exists when new status information is introduced to groups with established performance expectations. It also extends earlier research by showing the effect exists for multiple task-oriented behaviors and is not limited to situations involving the transfer of second-order expectations.

Research Implications: This research suggests that high status actors are more resistant to status loss than previously believed. I consider two possible mechanisms for this effect: self-enhancement bias as initially proposed by Kalkhoff et al. (2011) and an effect on collective orientation caused by performance expectations.

This chapter outlines the challenges that research and practice in higher education have faced in measuring students' competences and learning outcomes. Particular attention is given to the systematic and institutional contexts in Germany. Based on the outlined national and international contextual framework, the Germany-wide program “Modeling and Measuring Competences in Higher Education (KoKoHs)” is discussed in terms of its two central working stages, key outcomes and lessons learned. In particular, the central results of the second phase are presented for the first time and integrated into the current state of international research. Based on this analysis, perspectives for further research on student learning in higher education and implications for practice and policy are derived.