A dynamic model of supplier–customer product development collaboration strategies

This study examines transitions between different types of product development collaboration in supplier–customer settings, the events that trigger such transitions, and the emerging requirements for suppliers. The current study contributes to the literature regarding supplier and customer involvement by combining previously discovered types of collaboration into a dynamic model that describes these different types as alternative modes of collaboration that can be implemented in a relationship. Transitions between different types of collaboration are identified in a longitudinal case study. Three of the four transitions identified took place in the same dyad, which demonstrates that it is possible to change the type of collaboration without losing the advantages of a long-term relationship with a customer. The most radical change in collaboration—the change from supplier involvement to customer involvement—involved temporarily discontinuing the original relationship, which indicates that this transition incorporates the highest risk of relationship termination. By offering a dynamic model for product development collaboration, this study is the first to analyze changes between different types of customer–supplier product development collaboration from a supplier's perspective. The dynamic view is important for companies seeking to take advantage of their long-term relationships instead of starting new ones when new requirements for product development collaboration emerge.     

Improving the FTTH business case–A joint telco-utility network rollout model

Fiber to the home networks are seen as the most future proof technology to offer increasing bandwidth to customers. The publication of the Digital Agenda has put forward challenging goals for the broadband connectivity in Europe, but the rollout of next generation fixed access networks is still lagging. One of the reasons is the high initial investment cost associated with the rollout of these networks. To decrease this cost, a cooperation model between utility operators during the deployment phase is proposed in this paper. A model has been developed, in order to optimize the position of the different infrastructures in the trench and to allow for a fair allocation of the different costs incurred between all cooperating parties. The combination of these models has shown that a synergetic deployment phase of new infrastructures, both in Greenfield and Brownfield installations, can decrease the deployment costs for fiber infrastructure up to 21%.     

Compartmental market models in the digital economy—extension of the Bass model to complex economic systems

Compartmental models are widely used in epidemiology, engineering, and physics to describe the temporal behavior of complex systems. This paper presents how compartmental models may be applied to the digital economy—more specifically, how the Bass model can be extended to more complex economics systems such as markets with customer churning, competition, multisided platforms, and online games. It is demonstrated that it is straightforward to establish the equations describing the various economic systems under study, however, the equations are often too complex to be solved analytically in the general case. Though the paper presents simple and idealized cases, the solutions may, nevertheless, uncover important strategic aspects that otherwise may be hidden by complexity in the general case, for example, the reasons for slow initial market growth. The paper also discusses how the developed models may be used to evaluate digital economic market evolution and business policy.     

Conditions influencing the adoption of a soda tax for public health: Analysis of the French case (2005–2012)

Although over 40 jurisdictions have adopted a tax on sugar-sweetened beverages (SSBs) for public health worldwide, it is still debated in many places. Policy processes can influence the prospect of an SSB tax, its design and its public health benefits. To get an insight into such processes, we undertook a case study of the soda tax enacted in France on the 1^st of January 2012. Newspaper articles (2003–2013) and institutional documents (2007–2012) were identified using keywords and search engines. Qualitative data extraction and analyses were performed on a thematic and chronological basis, with guidance from Kingdon’s multiple streams theory (MST). Triangulation was enhanced by using complementary sources. This study shows that in August 2011, the French government surprisingly announced a €3.58 cent/L excise tax on SSBs, excluding juices with no added sugars and non-calorically sweetened beverages (NCSBs). As part of a large budgetary plan, the proposal aimed to reduce SSB consumption and raise revenue that was earmarked for health care. Several conditions contributed to opening a policy window: The announcement occurred in the context of severe budgetary deficits; soda tax scenarios had already been discussed at a high level; and the bill was supported by convinced political leaders. Subsequently, the tax successfully passed through the legislative process due to a series of unexpected events, but its public health rationale and design were weakened. The first event was the disorganised reaction by the food industry, despite their sharp opposition to the tax. The next event was the support of the soda tax that came from a majority of Deputies, provided that the revenues would serve another purpose: relieving wage costs in the farming sector. Finally, policy entrepreneurs favoured a compromise to make the tax politically acceptable and legally viable: The tax rate doubled, the scope was extended to NCSBs and revenues were split between health care and agriculture. This study sheds light on influence factors that could be taken into account by public health actors willing to influence soda tax policy processes.     

Networks,ecosystems, fields,market systems? Making sense of the business environment

This positioning paper is informed by our judgment that the mainstream research on business marketing and marketing in general is losing its relevance and vigor because it views business environments as narrow “markets” and focuses primarily on dyadic business relationships and their management. Sticking to this limited, economics-driven market view has detached the discipline from major real-world phenomena, leaving it with scant understanding of the contemporary environmental context of marketing and business strategy. Based on a focused reading of literature on business fields, business networks, business ecosystems, and market systems, we venture our own comprehensive theoretical framing of complex business environments summarized in two frameworks. In the pursuit of relevance our integration is avowedly simplifying as we strive for parsimony. Key points explicate the nested, multi-layered, multimodal, transitional and conditioned character of the business environment, and the dynamics, phases and processes of the evolution of that nested environment. We use the frameworks constructed, which form an initial theory of complex business environments, to supply a research agenda for business marketing and offer brief managerial conclusions.     

An extension to the classical mean–variance portfolio optimization model

Abstract

The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean–variance portfolio optimization model. We propose a new two-step heuristic approach, GRASP & SOLVER, that evaluates the desirability of an asset by combining several properties about it into a single parameter. Using a real-life data set, we conduct a simulation study to compare our solution to a benchmark (S&P 500 index). We find that our method generates solutions satisfying nearly all of the constraints within reasonable computational time (under an hour), at the expense of a 13% reduction in the annual return of the portfolio, highlighting the effect of introducing these practice-based constraints.     

What will be the possible barriers to consumers’ adoption of smart home services?

Recently, smart home services have come to the forefront as part of the growing market for the “Internet of Things.” Since these smart home services were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the smart home market has appeared to hit a roadblock and remains at an early market stage. This study attempts to identify the possible barriers that consumers perceive when they are introduced to smart home services. Based on the resistance theory and perceived risk model, we investigate the relationship between perceived risk and resistance to smart home services, using technological uncertainty and service intangibility as the antecedents of perceived risk. Dividing perceived risk into four dimensions—performance risk, financial risk, privacy risk, and psychological risk—the empirical results show that these four risk types are affected by technology uncertainty and service intangibility, and the perceived risks, except for financial risk, have positive effects on the resistance to smart home services. When the survey respondents are divided into two types, postponers and rejecters, the result of postponers is similar with that of total sample, except that privacy risk is unimportant to postponers, and the result of rejecter cannot satisfy the recommended model fit.     

Coopetition close to the customer — A case study of a small business network

Coopetition interactions are traditionally divided into competing activities close to the customer, called output activities (e.g., sales and marketing), and cooperating activities far from the customer, known as input activities (e.g., logistics, production and R&D). In many coopetition networks, most of the cooperation has been in input activities, essentially meaning that little research is conducted in coopetition business networks with cooperative activities close to the customer. This article closes the gap by investigating coopetition in an ICT business network comprising small-to-medium-sized enterprises (SMEs) in the B2B sector. The purpose of this paper is to increase understanding of cooperation between competing firms by analyzing the success factors of cooperative activities close to the customer that lead to a positive outcome of coopetition. The results of the study show that some case companies are more competition oriented, whereas the others are more cooperation oriented. At the activity level of analysis, cooperation occurs in branding, marketing, joint customers, and delivery of services; whereas companies compete in local services, marketing campaigns, and pricing. In addition, our study shows that certain success factors for coopetition are highlighted, particularly in output activities such as activeness, geographical distance and personal resources.     

How to leverage the impact of R&D on product innovation? The moderating effect of management innovation

Although research and development (R&D) is a key indicator of (technological) innovation, scholars have found mixed results regarding its effect on product innovation and firm performance. In this paper, we claim that variations in R&D effectiveness can be explained by changes in a firm’s social system, in particular in its management innovation. It is still unclear how management innovation influences R&D effectiveness in terms of product innovation. In this study, we address this theoretical and empirical gap in the innovation literature. Our theoretical arguments and findings from a large-scale survey among Dutch firms show that R&D has a decreasingly positive relationship with product innovation, particularly for firms with low levels of management innovation. However, in firms with high levels of management innovation, this relationship becomes more J-shaped, especially in small and medium-sized firms. Our findings also appear to indicate that management innovation may be more important for competitive advantage than just R&D. Overall, our insights reveal that management innovation is a key moderator in explaining firms’ effectiveness in transforming R&D into successful product innovation.     

Regional differences in business ethics in the People’s Republic of China: A multi-dimensional approach to the effects of modernisation

This paper investigates the influence of modernisation on the moral judgements of 211 managers in the People’s Republic of China, based on their responses to a series of vignettes depicting potentially unethical behaviour in organisations. Since modernisation can take many forms, this paper takes a multi dimensional approach to examining levels of modernisation in different provinces in China. Three different measures are used, believed to represent different aspects of the modernisation process. These include the level of industrialisation of various provinces, the level of marketisation, or progress toward a market-based economy, and a new measure of Westernisation, or the extent to which individuals adopt aspects of Western lifestyle and materialism. This latter measure is developed and tested in the present study. Statistically significant associations between these three measures of modernisation and managers’ moral judgements were observed and the implications of these findings are discussed.     

What messages to post? Evaluating the popularity of social media communications in business versus consumer markets

Although social media usage in business markets continues to grow, managers still struggle with designing popular brand message posts. This research investigates the key factors that contribute to Facebook brand content popularity metrics (i.e., number of likes and comments) for Fortune 500 companies' brand posts in business-to-business (B2B) versus business-to-consumer (B2C) markets. Building on psychological motivation theory, the authors examine key differences in B2B and B2C social media message strategies in terms of branding, message appeals, selling, and information search. Using Bayesian models, they find noteworthy differences in the propensity of viewers to popularize brand posts. Specifically, the results indicate that the inclusion of corporate brand names, functional and emotional appeals, and information search cues increases the popularity of B2B messages compared with B2C messages. Moreover, viewers of B2B content demonstrate a higher message liking rate but a lower message commenting rate than viewers of B2C content.     

The effect of ‘can do’ and ‘reason to’ motivations on service–sales ambidexterity

Salespersons are increasingly expected to explore cross-/up-selling opportunities while simultaneously fulfilling customer service requests; an activity known as service–sales ambidexterity. Engaging simultaneously in these seemingly conflicting tasks may pose self-regulatory and motivational challenges for salespersons. Drawing from regulatory mode and self-determination theories, this study argues that salespersons' engagement in service–sales ambidexterity is driven by the ‘can do’ motivations of locomotion and assessment orientations, and the ‘reason to’ motivations of enjoyment of work and driven to work. This study contributes to the new literature stream on service–sales ambidexterity by testing a model that integrates the two behavioral motivation explanations. Results indicate that service–sales ambidexterity is jointly determined by the ‘can do’ and the ‘reason to’ motivations, both directly and through their interactions. The study offers new theoretical and managerial implications on ambidexterity at the individual level of analysis.     

An analysis of the impact of student–scientist interaction in a technology design activity,using the expectancy-value model of achievement related choice

Many education initiatives in science and technology education aim to create enthusiasm among young people to pursue a career in Science, Technology, Engineering, and Mathematics (STEM). Research suggests that personal interaction between secondary school students and scientists could be a success factor, but there is a need for more in-depth research on the actual effects of science education initiatives. This paper describes an in-depth, qualitative assessment of a technology design activity, using as a theoretical framework the expectancy-value model of academic choice Eccles and Wigfield (Annu Rev Psychol 53:109–132, 2002). A core element in the studied education initiative is the interaction between secondary school students and scientists. Semi-structured interviews were conducted with participating students and analysed qualitatively to disentangle the factors in their motivation to participate in this initiative and their experiences and memories gathered during participation. Last, this paper reflects on the use of the expectancy-value model for in-depth assessments of science education initiatives. Results show that interest-enjoyment values and attainment values are most important in the students’ motivation to participate in the studied activity. These values are connected to educational principles of authentic practice, and of providing meaningful contexts for scientific concepts. Furthermore, results show that the interaction between students and scientists is not automatically a success factor. Disappointment in this interaction, can cast a shadow on students’ whole experience. This leads us to propose to include an additional factor in the expectancy-value model of achievement related choice: educational environment, including ‘personal interaction’ as an element. Adding this factor would—in our opinion—create an even better framework for in-depth assessment of science education initiatives.