Analyzing systemic customer value in scalable business services

This paper examines complex service offerings and the creation of systemic customer value in such settings. We explore the extent to which customers value systemic offerings as opposed to more separated offerings. We conducted a questionnaire survey within the customer base of two Finnish service companies. We utilized t-tests to find out how systemic offerings and separated offerings differed in terms of perceived customer value along different dimensions. The findings support the claim that systemic offerings are valued more than offerings that are more separated in nature. The results of the study carry practical implications for firms offering complex and integrated service solutions. In addition, analyses of the service-value elements included in the offering and of the related customer value will enable firms to optimize their service provisioning so as to give higher customer value and subsequently enhance their competitive advantage.     

Searching for big data: How incumbents explore a possible adoption of big data technologies

Big data is often described as a new frontier of IT-enabled competitive advantage. A limited number of exemplary firms have been used recurrently in the big data debate to serve as successful illustrations of what big data technologies can offer. These firms are well-known, data-driven organizations that often, but not always, are born digital companies. Comparatively little attention has been paid to the challenges that many incumbent organizations face when they try to explore a possible adoption of such technologies. This study investigates how incumbents handle such an exploration and what challenges they face. Drawing on a four-year qualitative field study of four large Scandinavian firms, we are able to develop a typology of how incumbents handle the exploration of and resistance to adopting big data technologies. Directly affecting the incumbents’ exploration are two aspects that separate the adoption of big data technologies from that of other technologies. First, being an elusive concept, big data technologies can mean different things to different organizations. This makes the technologies difficult to explain before an investing body, while it simultaneously opens up possibilities for creative definitions. Second, big data technologies have a transformative effect on the organization of work in firms. This transformative capability will make managers wary as it might threaten their position in the firm, and it will create ripple effects, transforming other systems besides those directly connected to the technology.     

NON-WELFARIST OPTIMAL TAXATION AND BEHAVIOURAL PUBLIC ECONOMICS

Abstract.  Research in behavioural economics has uncovered the widespread phenomenon of people making decisions against their own good intentions. In these situations, the government might want to intervene, indeed individuals might want the government to intervene, to induce behaviour that is closer to what individuals wish they were doing. The analysis of such corrective interventions, through taxes and subsidies, might be called 'behavioural public economics'. However, such analysis, where the government has an objective function that is different from that of individuals, is not new in public economics. In these cases the government is said to be 'non-welfarist' in its objectives, and there is a long tradition of non-welfarist welfare economics, especially the analysis of optimal taxation and subsidy policy where the outcomes of individual behaviour are evaluated using a preference function different from the one that generated the outcomes. First of all the object of this paper is to present a unified view of the non-welfarist optimal taxation literature and, second, to present behavioural public economics as a natural special case of this general framework.     

Modeling Daily Outdoor Recreation Participation and Time-Use as a Two-Stage Choice Process: A Finnish Example

This study examines the determinants of daily participation and time-use in nature-based outdoor recreation among the Finnish population, comparing frequently used modeling methods. Using an original time diary dataset, results show that daily participation decision is mainly influenced by age, dog ownership, potential unemployment and timing of the day (weekend vs. weekday, summer vs. autumn), whereas the main determinants for the daily time-use are age, timing of the day, gender and province. Results indicate that a simple two-part model (probit and OLS) is an appropriate approach for modeling the daily decision process concerning nature-based recreation behavior.     

Optimal taxation and public provision for poverty reduction

The existing literature on optimal taxation typically assumes there exists a capacity to implement complex tax schemes, which is not necessarily the case for many developing countries. We examine the determinants of optimal redistributive policies in the context of a developing country that can only implement linear tax policies due to administrative reasons. Further, the reduction of poverty is typically the expressed goal of such countries, and this feature is also taken into account in our model. We derive the optimality conditions for linear income taxation, commodity taxation, and public provision of private and public goods for the poverty minimization case and compare the results to those derived under a general welfarist objective function. We also study the implications of informality on optimal redistributive policies for such countries. The exercise reveals non-trivial differences in optimal tax rules under the different assumptions.     

How Investors Trade Around Interim Earnings Announcements

Abstract:   This study focuses on non‐institutional trading behaviour around interim earnings announcements in the emerging market. We separate the stock trading activity of Finnish households into five trading classes and compare the results to institutional trading. Data covering the years 1996–2000 shows that earnings news triggers trading in every trading class. We also find some evidence that actively trading individuals especially (compared to passively trading ones) show increased buying and selling activity before the event compared to the non‐event period. After the event we find that Finnish households in the most active investor class tend to follow a contrarian strategy, especially selling after good news. This adds to previous evidence by Grinblatt and Keloharju (2000b) . Furthermore, the performance of the active investor classes is superior to that of passive ones. Finally, the institutional trading class is clearly less affected by the announcement than the active investor classes, suggesting that institutions utilize a broader information set than individual investors.     

Market discovery and the international expansion of the firm

The objective of this paper is to formulate a theoretical framework for studies of antecedents and consequences of discoveries during international expansion. By introducing market discovery it seems to be possible to offer a richer understanding of the pattern and pace of the international expansion of a firm. Market discovery is the result of both exploration and exploitation activities, but in order to exploit market discovery, a firm must learn to handle the discovered opportunity. A discovery, usually made while a firm is conducting daily activities, occurs in connection with search, planning, routine, and improvisation. The resulting learning can lead to changes in pace, orientation, and extension of the international expansion of the firm.     

Interplay between reputation and growth: the source,role and audience of reputation of rapid growth technology-based SMEs

Abstract

Drawing on resource-based view and signalling theory, this paper presents a comparative case of four (young vs. old; small vs. medium-sized) business-to-business firms to examine how (i.e. through which sources), why (i.e. for which managerial purposes) and for whom (i.e. for which audiences) do technology-based small and medium-sized enterprises build their reputation along the process of rapid growth? The results indicate that in the pre-growth stage product awards as well as technological and financial partners are important sources of reputation for demonstrating technological capabilities and firm sustainability to potential customers especially for young firms. Older firms, in turn, rely on technology partners and acquisitions in the rapid growth stage to convince existing customers that the firms’ can keep up with their customer’s changing needs. Moreover, the reputation gained from the first well-known customer and a focused clientele appear to be two critical antecedents of rapid growth whereas patents do not seem to have a significant reputational role in rapid growth. Our study informs the theory of reputation development of growing technology-based firms by abstracting a more nuanced understanding of stakeholder- and stage-contingent reputation that fosters rapid growth, and provides new insight into the literature on small firm growth.     

Enabling relationship structures and relationship performance improvement: The moderating role of relational capital

Based on data from 248 asymmetric subcontractor–customer relationships in Finland, this study analyzes the direct impact of relationship structures, relational capital, and the subcontractor's relationship-specific investments on the improvement of operational relationship performance. In addition, the study investigates the moderating role of relational capital on the links between relationship structures, relationship-specific investments, and relationship performance improvement. We found that both relational capital and relationship-specific investments directly affect the relationship performance improvement, while relationship structures do not. However, relational capital positively moderates the link between relationship structures and relationship performance improvement by creating enabling structures. Thus, our findings contribute to the existing literature and discussion on enabling organizational and relationship structures by demonstrating how relational capital changes the role and impact of relationship structures.     

The growth of sociological theories

A critical appraisal of Wagner and Berger's framework for analyzing the growth of sociological theories calls for more precise criteria for identifying theoretical continuity. We propose a structuralist theory of science as an alternative framework. Our rational reconstruction of selected theories in the family of social psychological balance theories shows that Wagner and Berger's key concepts have counterparts in the exact formalism of structuralism. Overall, our results support Wagner and Berger's main thesis: the growth of theoretical knowledge in sociology is not rare but simply hidden by mistaken assumptions about the nature of theoretical activity.