Business strategy for sustainable development: Impact of life cycle inventory and life cycle impact assessment steps in supply chain design and planning

Sustainability reporting has become a central instrument in displaying a company's strategy and engagement with a more sustainable society. Life cycle assessment (LCA) is an important tool in this context as it is aimed to analyze the entire life cycle of the product/service, instead of focusing on one focal firm. However, the lack of standardized guidelines in its application raises questions regarding the usefulness and validity of results. This study contributes to the improvement of sustainability reporting through the identification of the uncertainty sources in life cycle methodologies that have the biggest impact in the definition of business and environmental strategies, exploring a supply chain‐oriented analysis. The focus is on life cycle inventory (LCI) and life cycle impact assessment (LCIA). A multiobjective optimization‐based methodology is applied to a supply chain case study in the pulp and paper industry. Environmental and economic objectives are considered. Results show that different LCIA methods and different normalization data sets result in significantly different business and environmental strategies. However, different system models and cultural perspectives at the LCI step and variations in the characterization factors tend to lead to the same decisions. Important insights are gained regarding the impact of nonstandardized analysis of the application of LCA in supply chain design and planning decisions and consequently on business strategy definition and sustainability reporting. Furthermore, the importance of operations research methods to improve LCA‐based studies and of bridging the gap between LCA and supply chain management bodies of knowledge is highlighted in this work.     

Changes in Occupational Tasks and Their Association with Individual Wages and Occupational Mobility

This study provides novel evidence on the relevance of task content changes between and within occupations to wage dynamics of occupational changers and stayers. I use individual‐level, cross‐sectional data featuring tasks performed on the job to compute a measure of proximity of job contents. Then, I merge this measure to a large‐scale panel survey to show that occupational changers experience a wage growth that is declining when the accompanying alterations in task contents are big. For occupational stayers, alterations in task contents generate a positive wage component, beyond tenure effect. However, the results are not robust with respect to the choice of proximity measure and over time.     

Losing the lead: the patenting decision in the light of the disclosure requirement

Empirical findings state that the disclosure requirement might be a reason for firms to rely on secrecy rather than patents to protect their inventions. We choose a dynamic framework in which we can explicitly analyze the patenting decision reflecting the tradeoff between a positive protective effect and a negative effect due to the required disclosure of the protected invention. In spite of a patent, the inventor's rival may still enter the market with a non-infringing product. Measuring the technological lead of the inventor by a time advantage he has compared with his rival, we show that if his headstart exceeds a critical threshold, he will not patent and rather rely on secrecy.     

A Popular Geopolitics of the Refugee Crisis in Europe: The Re-actualization of Identity-driven Geopolitical Narratives in Estonia

ABSTRACT

The article examines the question of how the refugee crisis in Europe re-actualizes the existing national geopolitical narratives and affects the border-(re)drawing of European political communities. I particularly refer to the Estonian experience, which I examine through two different case studies. The first one focuses on the refugee issue as seen from the perspective of fostering a less nationalistic and more heterogeneous identity in Estonia, expressed in the language of contemporary art. The second one addresses the perceptions of the refugee debate by Russian speakers in Narva who directly relate this question to their personal experiences with integration into Estonian society since the fall of the Soviet Union. I analyse both issues within the framework of popular geopolitics that tackles cultural representations of territories, spaces, and identity politics from the viewpoint of vernacular, home-grown, and routine meanings, to bring this culturally focused approach to the foreground of research into politically sensitive phenomena.     

A structural time series approach to modelling multiple and resurgent meat scares in Italy

This paper exploits a structural time series approach to model the time pattern of multiple and resurgent food scares and their direct and cross-product impacts on consumer response. A structural time series Almost Ideal Demand System (STS-AIDS) is embedded in a vector error correction framework to allow for dynamic effects (VEC-STS-AIDS). Italian aggregate household data on meat demand is used to assess the time-varying impact of a resurgent BSE crisis (1996 and 2000) and the 1999 Dioxin crisis. The VEC-STS-AIDS model monitors the short-run impacts and performs satisfactorily in terms of residuals diagnostics, overcoming the major problems encountered by the customary vector error correction approach.     

Rolling-sampled parameters of ARCH and Levy-stable models

In this article an asymmetric autoregressive conditional heteroskedasticity (ARCH) model is applied to some well-known financial indices (DAX30, FTSE20, FTSE100 and SP500), using a rolling sample of constant size, in order to investigate whether the values of the estimated parameters of the model change over time. Although, there are changes in the estimated parameters reflecting that structural properties and trading behaviour alter over time, the ARCH model adequately forecasts the one-day-ahead volatility. A simulation study has been carried out to investigate whether the time-variant attitude holds in the case of a generated ARCH data process revealing that either in that case the rolling-sampled parameters are time varying. The rolling analysis is also applied to estimate the parameters of a Levy-stable distribution. The empirical findings support that the stable parameters are also time variant.     

Development of the Persuasion Knowledge Scales of Sponsored Content (PKS-SC)

Abstract

Despite the popularity of the Persuasion Knowledge Model, and its persistent relevance given the omnipresence of sponsored content (e.g. brand placement in TV programmes and video games, or paid product reviews in blogs), the way scholars measure persuasion knowledge varies widely. This study aims to develop valid and reliable scales for standardized measurement of consumers' persuasion knowledge of sponsored content. In three phases, we developed the Persuasion Knowledge Scales of Sponsored Content (PKS-SC) that measures nine components: (1) recognition of sponsored content, (2) understanding of selling and persuasive intent, (3) recognition of the commercial source of sponsored content, (4) understanding of persuasive tactics, (5) understanding of the economic model, (6) self-reflective awareness of the effectiveness of sponsored content, (7) skepticism toward sponsored content, (8) appropriateness of sponsored content, and (9) liking of sponsored content. All scales have good to appropriate validity and reliability. Recommendations for future research are discussed.     

Best practices in ethics management: Insights from a qualitative study in Slovakia

Voluminous growth of new ethics management elements in corporate practice implies the need to enrich its theoretical understanding. Most studies delineate ethics management conventionally as measures primarily applied for establishing ethical norms and employee compliance. Furthermore, many models are somewhat limited in scope and amount of presented practices and usually do not conceptualize ethics management functions beyond traditional compliance‐integrity discussion. In addition, most models are not grounded in empirical research. With the aim to contribute to ethics management theory and bridge it with practice, this study employs a constructivist approach and maps best practices in ethics management via four focus groups with management professionals. Results suggest that ethics management can be viewed as a fundamentally participative and collaborative process, as a way of building relationships with external stakeholders, balancing structured planning and flexible change, and profoundly amalgamating with human resource management processes. Furthermore, in an Inventory of best practices encompassing 70 ethics practices, this study outlines nine functional subprocesses as key aspects of ethics management’s practical implementation. As the research was conducted in Slovakia, this study provides unique information on the recent developments in ethics management in one of the post‐transitional countries in the region of Central and Eastern Europe.