Will they stay or will they go? How network properties of WebICs predict dropout rates of valuable Wikipedians

This paper contributes to our understanding of an increasingly prevalent work system, web-based internet communities (WebICs). We are particularly interested in how WebICs are governed given the fact how different they are compared to more classical forms of organization. We study the governance of a WebIC by studying the structure and dynamics of their edit network. Given the fact that the edit network is a relational structure, social network analysis is key to understanding these work systems. We demonstrate that characteristics of the edit network contribute to predicting the dropout hazard of valuable WebIC members. Since WebICs exist only thanks to the activity of their contributors, predicting drop-outs becomes crucial. The results show that reputation and controversy have different effects for different types of Wikipedians; i.e., an actor’s reputation decreases the dropout hazard of active Wikipedians, while participation on controversial pages decreases the dropout hazard of highly active Wikipedians.     

Network influence and organizational performance: The effects of tie strength and structural equivalence

We combine theory and empirical evidence to develop and test three related claims about how ties strength and structural equivalence affect interorganizational performance similarity. First, network partners attain similar levels of performance because direct network ties facilitate information and resource sharing, and the diffusion of organizational practices. Organizations occupying similar network positions attain similar levels of performance because they face similar competitive constraints. Second, because mechanisms underlying performance similarity implied by direct network ties and similarity in network positions are different, strength of network ties and network position affect different dimensions of organizational performance. Third, we expect that tie strength will affect aspects of performance that are more likely to be influenced by processes activated by the direct contact between network partners. We expect structural equivalence to affect more strongly those aspects of organizational performance that are more directly influenced by competition. An analysis of interorganizational networks and organizational performance within a regional community of hospitals provides evidence in support of these claims. Models estimated on a sample of 8190 interorganizational dyads suggest that the effects of tie strength and structural equivalence on organizational performance are highly differentiated and contingent on specific aspects of performance. We show that these conclusions are robust with respect to a wide variety of other factors that may be responsible for performance similarity including competitive interdependence, structural homophily, and resource complementarity.     

How do actors shape social networks during the process of new product development?

Recent studies on new-idea generation and development have highlighted the role played by network structure in the genesis of new combinations or the process of selecting ideas. However, less attention has been paid to the factors that entice actors to shape social networks during the process of the development of new ideas.This research was conducted in an R&D facility of a semi-conductor company. We analysed the generation of five creative projects and their development over a four-year period. We used a longitudinal approach and collected data through interviews and observations to identify the creative contributions and the actors who were involved at different time periods for each project. We mapped the relationships between actors who contributed to the development of each idea through creative thinking and/or helped it to become accepted both internally and externally over three-year windows. This method generated data on network evolution.We also carried out a qualitative analysis and identified four main factors explaining why actors turn to others during the idea-development process: (1) to gain access to information; (2) to enhance credibility; (3) to exercise one’s influence; and (4) to gain access to knowledge through people or objects. We demonstrate that different types of ties or network structures are relied upon to reap different kinds of benefits. This may partially explain network evolution as an idea progresses through different development stages.     

Die Akzeptanz der elektronischen Gesundheitskarte in Deutschland

Against the background of the increasing importance of eHealth, this contribution concentrates on the issue of acceptance regarding the introduction of the electronic health card (English for elektronische Gesundheitskarte, hereinafter referred to as eHC) on the part of the service providing health institutions. After presenting the general issue, the relevance of the subject is described and the eHC is defined. Then the eHC is classified in terms of terminology and afterwards the current state of research of investigations regarding acceptance in the field of eHC is presented and evaluated. Based on both the technology acceptance model and the relevant literature, the important factors influencing the attitude towards and the eventual use of the eHC are conceptualized and integrated in an investigation model. The empirical investigation took place throughout Germany within the scope of an online survey of the health care providers. All in all, 502 questionnaires were reflected in the evaluation of the willingness of acceptance. The empirical results show that regarding the perceived usefulness the performance of the system and a well balanced cost-/benefit-ratio lead to an increasing acceptance of the eHC. Being integrated in the decision process, however, is not relevant for the German physicians. Within the context of the perceived ease of use the compatibility of the system is much less relevant than the controllability or the general usability.     

Ideal Values and Counter‐ideal Values as Two Distinct Forces: Exploring a Gap in Organizational Value Research

Motives and values at work have long been key topics of business and management studies. In a focused review of the literature on the nature of human values, this paper identifies a disconnect with the literature on human motivation, despite the otherwise inherent relatedness of the two fields. Specifically, extant theory and research have conceptualized values generally in terms of ideals, namely desired end‐states that individuals strive to approach. Although values, by this definition, express motivational concerns, theories of human motivation suggest that there are two forces to consider, i.e. approach and avoidance motivation. By applying this ‘two forces’ perspective to value research, this paper identifies a gap in the literature on values: namely, the idea that individuals are also influenced by counter‐ideal values, i.e. end‐states that they deliberately seek to avoid. The identification of this gap opens up new opportunities for value research in general and organizational value research in particular. To pave the way for future research, this paper critically discusses the few studies that have taken first steps in that direction and outlines research questions that may follow for issues such as employer branding and person–organization fit. This paper closes by providing suggestions on how to tackle the issue in organizational practice.     

The Value of Weather Information for E‐Commerce Operations

To be efficient, logistics operations in e‐commerce require warehousing and transportation resources to be aligned with sales. Customer orders must be fulfilled with short lead times to ensure high customer satisfaction, and the costly under‐utilization of workers must be avoided. To approach this ideal, forecasting order quantities with high accuracy is essential. Many drivers of online sales, including seasonality, special promotions and public holidays, are well known, and they have been frequently incorporated into forecasting approaches. However, the impact of weather on e‐commerce operations has not been rigorously analyzed. In this study, we integrate weather data into the sales forecasting of the largest European online fashion retailer. We find that sunshine, temperature, and rain have a significant impact on daily sales, particularly in the summer, on weekends, and on days with extreme weather. Using weather forecasts, we have significantly improved sales forecast accuracy. We find that including weather data in the sales forecast model can lead to fewer sales forecast errors, reducing them by, on average, 8.6% to 12.2% and up to 50.6% on summer weekends. In turn, the improvement in sales forecast accuracy has a measurable impact on logistics and warehousing operations. We quantify the value of incorporating weather forecasts in the planning process for the order fulfillment center workforce and show how their incorporation can be leveraged to reduce costs and increase performance. With a perfect information planning scenario, excess costs can be reduced by 11.6% compared with the cost reduction attainable with a baseline model that ignores weather information in workforce planning.