Deducing a state-of-the-art presentation of the Eclectic Paradigm from four decades of development: a systematic literature review

Management Review Quarterly - For over four decades the Eclectic Paradigm has experienced a myriad of interdisciplinary advancements and evolved into an ever-broader and complex accumulation of...     

The role of lifetime activity cues in customer base analysis

This paper develops the notion of lifetime activity cues in customer base analysis. The authors first discuss the impact of lifetime indicators, such as customers' conceptual response to marketing activities, and then demonstrate how such lifetime cues can be embedded into the Pareto/NBD model. The authors theoretically analyze the implication of this additional behavioral indication on the model's predictions. In an illustrative example, they aim to establish an intuitive understanding of the effects of such information. Evidence from the cellular phone industry supports the relevance of this concept: The empirical study finds a substantial improvement in predictive accuracy in two independent holdout samples. The study concludes with a discussion of the managerial relevance of the proposed approach and opportunities for further research.     

Bilateral Opportunism in Buyer–supplier Partnerships

ABSTRACT

Purpose

Literature analyzes interorganizational relationships mostly from a relational perspective by emphasizing partnerships’ positive aspects. Yet business reality is often less romantic and more opportunistic. Especially within the automotive industry opportunistic behaviors often cause extreme reactions in both partners, resulting in poisoned relationships. This study examines the effects of bilateral opportunism between buyers and suppliers on both partners’ relationship induced financial performance, using an automotive industrial setting of new product development (NPD) partnerships. Furthermore, we evaluate the “opportunistic fit” between both partners to assess whether partnerships are characterized by opportunistic parity or unilateral domination.     

Running for pleasure or performance? How store attributes and hedonic product value influence consumer satisfaction

Previous retailing studies have linked consumer satisfaction to perceived hedonic or utilitarian product value. This research extends previous studies by examining how the context in which the product is purchased (store attributes) and product value influence consumer satisfaction. We conducted a field study with 213 consumers attending two major running events. The findings from structural equation modelling suggest that a specific combination of store attributes (tangible and intangible) and hedonic product value has a positive influence on satisfaction. Results also show that tangible store attributes have a stronger positive impact on utilitarian (vs. hedonic) product value, and that intangible store attributes have a positive impact on hedonic product value. However, we found that only hedonic product value has a positive impact on satisfaction. This research contributes to theory by showing that a match between store attributes (tangible and intangible) and hedonic product value can positively influence satisfaction. In managerial terms, the findings provide insights on how to improve consumer satisfaction in retail environments through store attributes and hedonic product value.     

The Post-entry Performance of Cohorts of Export Starters in German Manufacturing Industries☆

This paper investigates four cohorts of firms from German manufacturing industries that started to export between 1998 and 2002, and follows them for five years after the start. Export starters are a rare species and small in Germany. Around 30–40% of those starters studied became continuous exporters. The share of total exports contributed by export starters of a cohort is tiny in the start year, and it remains so over the years that follow. Contrary to the market selection hypothesis, there is no evidence that productivity in the start year is systematically related to survival in the export market. There is no evidence of a negative impact of a smaller firm size in the start year on the chance of surviving in the export market. Starting with a higher share of exports in total sales, however, tends to increase the probability of continuing to export.     

Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

Challenges and opportunities in high-dimensional choice data analyses

Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and geodemographic characteristics. Similar datasets emerge in retailing with potential use of RFIDs, online auctions (e.g., eBay), social networking sites (e.g., mySpace), product reviews (e.g., ePinion), customer relationship marketing, internet commerce, and mobile marketing. We envision massive databases as four-way VAST matrix arrays of Variables?×?Alternatives?×?Subjects?×?Time where at least one dimension is very large. Predictive choice modeling of such massive databases poses novel computational and modeling issues, and the negligence of academic research to address them will result in a disconnect from the marketing practice and an impoverishment of marketing theory. To address these issues, we discuss and identify the challenges and opportunities for both practicing and academic marketers. Thus, we offer an impetus for advancing research in this nascent area and fostering collaboration across scientific disciplines to improve the practice of marketing in information-rich environment.     

Deutschlands Exportüberschuss auf dem Weg zu neuen Höchstständen — eine Projektion bis 2017

The economic and fi nancial crisis in 2009 triggered a stronger collapse in German exports compared to imports, with the high external surplus falling considerably. By now, global trade has recovered. The authors have calculated trends in German foreign trade, using a gravitation model. Based on IMF forecasts of global economic performance, the projections show that Germany’s export surplus looks set to reach new highs in the medium term.