Search results

Digitalization has a profound impact on economies as a whole, and on sectors, businesses, and daily life. Digitalization is possible through development of a variety of digital technologies which led to creation of digital products and services in almost every sector. Almost all sectors benefit from digital technologies; however, there are also challenges about digitalization which encounters conflicts. These conflicts are either macro-level or related to digitalization of business processes. With efficient functioning of governmental policies, macro-level conflicts could be diminished or prevented. Conflicts arising from business process could be avoided by improvement of business relations.

In recent years, we can observe the emergence of firms, born both digital and global, that have disrupted existing industries. Deploying digital technologies, they have developed innovative value chains and business models that threaten established multinational companies (MNCs). In this chapter, we examine how MNCs can and do respond to the challenge digital technologies represent. We describe the main facets of digital technologies and discus the potential these have to undermine the value chains and business models of established MNCs. In order to illustrate this, we employ longitudinal data from Telenor, a leading multinational mobile telecom company. Telenor perceives digitalization as a critical threat that in turn is causing a radical rethink about the viability of its decentralized, locally responsive value chain and business model. Our data provides insights into business models in-the-making at the top management level. We argue that the case of Telenor is generalizable to multi-domestic MNCs across a range of industries.

This paper deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. However, the differentiation of product development among a number of firms also implies that various dependencies need to be dealt with across firm boundaries. How dependencies may be dealt with across firms is related to how product development is organized. The purpose of the paper is to explore dependencies and how interactive product development may be organized with regard to these dependencies.

The analytical framework is based on the industrial network approach, and deals with the development of products in terms of adaptation and combination of heterogeneous resources. There are dependencies between resources, that is, they are embedded, implying that no resource can be developed in isolation. The characteristics of and dependencies related to four main categories of resources (products, production facilities, business units and business relationships) provide a basis for analyzing the organizing of interactive product development.

Three in-depth case studies are used to explore the organizing of interactive product development with regard to dependencies. The first two cases are based on the development of the electrical system and the seats for Volvo’s large car platform (P2), performed in interaction with Delphi and Lear respectively. The third case is based on the interaction between Scania and Dayco/DFC Tech for the development of various pipes and hoses for a new truck model.

The analysis is focused on what different dependencies the firms considered and dealt with, and how product development was organized with regard to these dependencies. It is concluded that there is a complex and dynamic pattern of dependencies that reaches far beyond the developed product as well as beyond individual business units. To deal with these dependencies, development may be organized in teams where several business units are represented. This enables interaction between different business units’ resource collections, which is important for resource adaptation as well as for innovation. The delimiting and relating functions of the team boundary are elaborated upon and it is argued that also teams may be regarded as actors. It is also concluded that a modular product structure may entail a modular organization with regard to the teams, though, interaction between business units and teams is needed. A strong connection between the technical structure and the organizational structure is identified and it is concluded that policies regarding the technical structure (e.g. concerning “carry-over”) cannot be separated from the management of the organizational structure (e.g. the supplier structure). The organizing of product development is in itself a complex and dynamic task that needs to be subject to interaction between business units.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.

The study considers the interdependencies between complementors in the business ecosystem and explores the nature of collaborative interactions between them. It sheds light on the organizational and the strategic contexts in which such interactions take place, and shows how they may influence the pattern and the benefits of collaboration. The evidence presented is based on fieldwork followed by a detailed survey instrument administered to firms in the semiconductor industry. The findings, while reinforcing the shift in the locus of value creation from focal firms to collaborative business ecosystems characterized by information sharing and joint action among complementors, illustrate the organizational and the competitive challenges that firms face in their pursuit of joint value creation.

Purpose: To outline recent developments in digital service delivery in order to encourage researchers to pursue collaborations with computer science, operations research, and data science colleagues and to show how such collaborations can expand the scope of research on emotion in service delivery.

Design/methodology/approach: Uses archived resources available at http://LivePerson.com to extract data based in genuine service conversations between agents and customers. We refer to these as “digital traces” and analyze them using computational science models.

Findings: Although we do not test significance or causality, the data presented in this chapter provide a unique lens into the dynamics of emotions in service; results that are not obtainable using traditional research methods.

Research limitations/implications: This is a descriptive study where findings unravel new dynamics that should be followed up with more research, both research using traditional experimental methods, and digital traces research that allows inferences of causality.

Practical implications: The digital data and newly developed tools for sentiment analyses allow exploration of emotions in large samples of genuine customer service interactions. The research provides objective, unobtrusive views of customer emotions that draw directly from customer expressions, with no self-report intervention and biases.

Originality/value: This is the first objective and detailed depiction of the actual emotional encounters that customers express, and the first to analyze in detail the nature and content of customer service work.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

Co-creation of knowledge offers significant opportunities for innovation. This chapter seeks to gain understanding of the process of co-creation of knowledge for innovation and public relations in multi-stakeholder projects by exploring current insights in academic literature. The research questions look at how co-creation of knowledge for innovation has been investigated in the scholarly literature; the roles of end-users; and the modes and challenges of end-user participation and in collaboration relating to communication.

The method of this chapter is a structured literature review, following a series of rigorous steps: a search of databases, analysis of 33 articles found, summarising relevant content using a data extraction table and a data extraction continuum as analysis tools to show the range of projects discussed in the literature to create a comprehensive overview.

The findings indicate that multi-stakeholder networks can be structured for different aims. In the articles found different types of projects were investigated. Four categories of projects were found: (1) co-creation projects benefiting one company; (2) co-creation projects benefiting business-to-business value chain networks; (3) co-creation projects benefiting public entities; and (4) co-creation projects benefiting innovation network stakeholders.

Complexity is highest for multiple stakeholder co-creation projects benefiting innovation network stakeholders, where the roles between stakeholders are fluid and changing constantly. Solving common issues motivates the stakeholders to collaborate and build trust. Open innovation environments may facilitate communication and interaction.

Co-creation of knowledge requires intensive collaboration. Knowing the main challenges to address will help the functioning of co-creation collaboration networks and their public relations.