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Deployment of knowledge management systems (KMSs) suffers from low adoption in organizational reality that is attributed to a lack of perceivable added value for people in actual work situations. Poor task/technology fit in the process of knowledge retrieval appears to be a major factor influencing this issue. Existing research indicates a lack of re-contextualizing stored information provided by KMSs in a particular situation. Existing research in the area of organizational memory information systems (OMISs) has thoroughly examined and widely discussed the topic of re-contextualization. The purpose of this paper, thus, is to examine how KMS design can benefit from OMIS research on approaches for re-contextualization in knowledge retrieval.

This paper examines OMIS literature and inductively derives a categorization scheme for KMS according to their strategy of re-contextualizing knowledge. The authors have validated the scheme validated in a multiple case study that examines the differentiatory value of the scheme for approaches with various re-contextualization strategies.

The classification scheme allows a step-by-step selection of approaches for re-contextualization of information in KMS design and development derived from OMIS research. The case study has demonstrated the applicability of the developed scheme and shows that the differentiation criteria can be applied unambiguously.

Because of the chosen case study approach for validation, the validation results may lack generalizability.

The scheme enables an informed selection of KMSs appropriate for a particular OMIS use case, as the scheme’s attributes serve as design rationale for a certain architecture or constellation of components. Developers can not only select from various approaches when designing re-contextualizaton but also come up with rationales for each candidate because of structured representation. Hence, stakeholders can be supported in a more informed way and design KMSs more effectively along organizational change processes.

The paper addresses an identified need for systematic characterization of KMS approaches and systems intending to meet the objectives of OMISs. As such, it allows streamlining further research in this field, as approaches can be judged according to their originality and positioned relative to each other.

Vegetable oils are usually considered commodities. The purpose of this paper is to use disaggregated import data from Switzerland to show two phenomena. The first is that a growing high-price segment exists in these markets; the second is that least developed countries (LDC) are usually excluded from the benefits of this niche.

A detailed quantitative and qualitative analysis for coconut oil is carried out, using fixed effects regressions for the quantitative part and objective hermeneutics for the qualitative part.

The analysis indicates that prices depend on the quantity imported and on the country of origin and that entrepreneurs outside the LDC attempt to create new niche markets, whereas actors in the bulk markets tend to ignore these niches and to continue relying on LDC.

Bulk markets may continue to exist, but the importance of niches is certainly increasing and should be extended to LDC.

It could be shown which market dynamics exist and which of them leave LDC behind.

While it is incontestable that eating in restaurants leads to a higher energy intake than eating at home, this paper explores the even more environmentally relevant connection between meat intake and the location of eating.

Based on secondary data from the US National Health and Nutrition Examination Survey (NHANES), the authors apply a latent class model (LCM), combining latent profile analysis (LPA) and regression analysis. Different (latent) consumer classes are modeled based (1) on share of meat consumption and (2) share of eating out by means of LPA, while class-specific socio-demographic characteristics are estimated by means of ordered logistic regression.

Results of the LPA reveal four (latent) consumer classes with regard to the share of meat consumption and the share of eating out. One class consists mostly of male meat lovers with a high share of eating out, which, however, only represents 7% of the sample. A much larger class represents an affluent social group that consumes the majority of food outside of the home but does not consume significantly more meat than the large group of moderates who mostly eat at home. The fourth class mostly consists of children with a very low intake of meat.

By applying a LCM, the authors shed some light on the relation between meat consumption and eating out. The authors demonstrated that commonly assumed relations, such as men eating more meat than women, do not necessarily apply. Similar findings apply to factors potentially influencing meat consumption, such as education, marital status and income.

The purpose of this article is to provide empirical evidence about the potential positive effects of switching from given non-reciprocal trade preferences granted under the Swiss Generalized System of Preferences (GSP) for developing countries (DCs) to negotiated reciprocal trade preferences under a Free Trade Agreement (FTA).

In a case study of Tunisia’s exports to Switzerland, the authors apply methods of matching econometrics, namely, Propensity-Score Matching and Nearest-Neighbor Matching. Hereby, they are able to identify the average treatment effect on the treated.

Overall preferential exports increased by 125 per cent after the entry into force of the FTA in 2005 until the end of the observation period in 2011. Additionally, an analysis of the agro-food and textile sectors likewise indicate boosting preferential exports in the amount of 100 per cent.

Case studies in this vein have their disadvantages. The greatest disadvantage is the lack of generalization. In contrast to studies estimating the potential effects of an FTA for several countries, the authors are not able to generalize their results based on a single case.

Because trade preferences under the Swiss GSP are offered to the country group of DCs as a whole, non-reciprocal trade preferences are not tailored to the export structure of a particular DC. By switching from non-reciprocal to negotiated reciprocal trade preferences, DCs such as Tunisia expect to negotiate terms which are tailored to their export structure as well as better conditions than competitors from countries which are still beneficiaries of the GSP.

To the authors’ knowledge, this is the first study to investigate explicitly the switch from non-reciprocal to reciprocal trade preferences using econometric matching techniques.

The purpose of this paper is to determine if the institutional quality of developing countries (DCs) and least-developed countries (LDCs) contributes to a significant increase in the utilization rate of the Swiss generalized system of preferences in the agro-food sector.

The authors use state of the art regression techniques accounting for zero values to identify if the institutional quality – separately depicted by the Worldwide Governance Indicators, the Index of Economic Freedom and the Human Development Index – can contribute in overcoming non-tariff barriers (NTBs) to trade.

The institutional quality exerts a consistent positive effect on the level of utilization of trade preferences.

Swiss food trade represents, of course, only a very small share of world trade, therefore it would be worthwhile to extend the analysis to other countries and sectors.

Industrialized countries’ development policies should more strongly focus on capacity building in DCs and LDCs to strengthen trade-related institutions.

The study focuses on an often underemphasized element in international trade relations – the role of the institutional quality in overcoming NTBs to trade.

Informed by the findings of a follow-up research study of companies originally involved in the Danish Guideline Project (DGP) for intellectual capital statements (ICS), the purpose of this paper is to provide valuable insights for a potential shift from intellectual capital (IC) reporting, largely informed by an accounting perspective, towards IC-related disclosures.

The paper draws on data obtained from 21 semi-structured interviews with respondents in 16 companies. The respondents were contacted following a genealogical exercise carried out on the 102 companies involved in the DGP between 1999 and 2003.

The interviews suggested a rather critical perspective towards IC reporting using the ICS framework. Despite the attempt of the DGP to establish a reporting standard, a range of experiments resulted in changes to the framework’s original structure. Overall, a trend towards more integrated forms of reporting was discernible, in some part being motivated by the need to reduce the levels of reporting overload. Examples of integration designed to legitimise IC or corporate social responsibility reports, involving issuing them in tandem with a recognised reporting vehicle such as the annual report, were also encountered.

The implications of this study are that timely, value-relevant IC disclosures and compliant reporting, primarily for accountability purposes, have the potential to coexist. In addition to the usual limitations of a semi-structured interview research design, respondents’ difficulties in clearly recalling events during the project after some 10-12 years is a further potential limitation. Additionally, the use of internet-based communication channels for disclosure purposes was in its infancy at the time of the DGP.

The paper provides important insights into the mechanisms of IC disclosure and IC reporting as seen from a practitioner perspective. Implications relevant to the continued development of integrated reporting are also identified.

Enterprise social networks (ESNs) in organizations have become an increasingly important technology to support the exchange of information and knowledge. Many ESN projects fail due to insufficient engagement in the long run, leading to the high risk of sunk costs. The purpose of this paper is to investigate how hedonic motivations, along with normative motivations, play an important role in determining an employee’s intention to continuously participate in ESN. Based on the Four-Drive Model and hence borrowing from behavioral economics, it is investigated how such hedonic motivations emerge in organizational ESNs.

This study is set within the context of a global enterprise of the logistics and courier industry. The authors first derived hypotheses from the Four-Drive Model to build the research model on the emergence of hedonic motivation. Then, the authors derived hypotheses from existing adoption literature regarding the impact of hedonic motivations and normative motivations on ESN use continuance. Following, a quantitative survey was conducted to test these hypotheses. In the study, structural equation modeling is applied, based on partial least squares.

The results show that the extent to which an ESN supports the drives to comprehend, acquire, bond and defend starkly influences an employee’s hedonic motivations. In addition, it is shown that hedonic motivations have a much stronger influence on use continuance than normative motivations.

Research on hedonic motivations in the work context is still underrepresented, in management science as well as information systems (IS) research. Hence, theoretical approaches to explain and predict the emergence of hedonic motivations in IS usage are missing. With the study, the authors will close this theoretical gap. The study contributes to IS research not only by evaluating the role of hedonic motivation for ESN usage, but also by providing an approach to explain key drivers behind it. To the best of the authors’ knowledge, this is the first study to empirically test the Four-Drive Model in a voluntary IS context, adding valuable knowledge about human behaviors in digital work environments.

The purpose of this paper is to uncover similarities and differences among emphasized information literacy (IL) skills for the disciplines of political- and social sciences, economics, educational sciences, law sciences, mathematics, life sciences, history and German studies, based on an analysis of IL teaching materials.

Eight issues of the German language publication series Erfolgreich recherchieren (Succesful Research Strategies) are compared by using a structuring content analysis. The category system is based on the IL standards and performance indicators of the Association of College and Research Libraries (2000), extended with additional categories.

The results, first, suggest that the biggest similarities and differences among the disciplines are found concerning the determination of the nature and extent of the needed information, especially in the area of identifying potential sources of information. Second, some of the disciplines focus more on international sources, whereas others focus on country- and language-specific sources. Third, the criteria to define the appropriate retrieval system differ among the various disciplines. Fourth, approaches to narrow the search results differ among the various disciplines. Fifth, the critical evaluation of sources is addressed in all disciplines but relates to different contexts.

This approach only addresses one book per discipline out of a German language book series. Further research is needed.

This paper is unique in its approach and one of few papers on disciplinary differences in IL perception.

The purpose of this paper is to offer empirical insights on emerging additive manufacturing (AM) processes, barriers to their adoption and a timeline of expected impacts on the supply chain in the manufacturing industry.

A multi-stage survey study was conducted with a panel of 16 experts from industry and academia.

Only five out of today’s seven AM processes are of future importance, as are two emerging key processes. In total, 15 barriers to their adoption are identified, all of which are expected to be gone within ten years. Eight propositions are derived postulating as to whether and when supply chain impacts can be expected in terms of changes to supply chain structure, customer centricity, logistics and supply chain capability.

“Soft” barriers are new to the literature, which has traditionally focused on “technical” barriers. Often-discussed barriers such as production speed and costs do not reflect the true concerns of the research panel. Furthermore, some of the supply chain implications discussed in both the academic literature and the media are found to be unlikely to materialize.

The study summarizes AM processes, technologies, barriers and supply chain implications solicited from experts in the field.

This is one of the first studies to make empirical contributions to a vastly conceptual discussion. It is also the first study to give insights on a timeline for barriers and supply chain implications.

Large-scale projects are the typical delivery model in the engineering and construction industry, with their very own characteristics. Even though well established, only 1 in 1,000 large-scale projects is successful (Flyvbjerg, 2011). A lack of effective supply chain risk management (SCRM) has repeatedly been identified as one of the main causes. While the SCRM body of knowledge seems increasingly well established, a lack of effective methods meeting the specific requirements of large-scale projects can be observed.

This paper presents a structured and prioritized view on the supply chain risk portfolio in this sector: first, the authors identified and categorized the key supply chain risks in the recent literature. Next, the authors surveyed large-scale project managers across multiple industries, mainly coming from the domains of supply chain management and project management. Finally, the authors provide a contextualized risk taxonomy for engineering, procurement and construction (EPC) projects.

The identified risk portfolio deviates from generic projects significantly and shows a very high inherent risk exposure of large-scale projects. In particular, behavioral risks are identified as crucial. Additionally, a bias to considerably underestimate risks at project beginning is found.

The contextualized SCRM taxonomy offers a systematic and structured view on the key supply chain risks in EPC large-scale projects. The identified risks are considerably different in their characteristics compared to generic projects or classical SCRM approaches. The authors thus provide a new perspective on SCRM in this specific setting and complement traditional risk and project risk management techniques.