Query: business in networks

Candidate papers:

abstract: Preface. Chapter 1 A Jungle or a Rainforest? 1.1 A changing business landscape. 1.2 The necessity and danger with metaphors related to the business world. The business world as a jungle populated by competing rivals. The business world as a co evolving rainforest. 1.3 The content and disposition of the book. Part 1 Business Networks in Action. Chapter 2 Interaction as a way to deal with Relatedness, Variety, and Motion. 2.1 A Need for a Different Theoretical Approach. 2.2 A Business Landscape Populated by Interacting Companies. 2.3 Interaction and the Larger Business Landscape. Chapter 3 Analyzing Business Interation. 3.1 The Idea of Business Interaction. 3.2 Interaction Processes Between Companies. 3.3. An Initial Conceptualization of Interaction. 3.4 The A R A Model. 3.5 Interaction and Time. 3.6 Interaction and Space. 3.7 A Model of the Interaction Process. 3.8 Conclusions. Chapter 4 Doing Business: Exploiting Time and Space. 4.1 Using Time and Space. 4.2 Interaction as a Way to Take Advantage of Development Over Time. 4.3 Interaction as a Way to Take Advantage of Development Over Space. 4.4 The Company in the Interactive Business Landscape. Part 2 The Elements of Business Networks. Chapter 5 Interaction and Resources. 5.1. Economic Resources in the IMP Framework. 5.2. An Initial View of Resources in an Interactive Business Landscape. 5.3 Resources and Business: Basic Propositions. 5.4 An Interactive World Full of Resources. 5.5 Combining new and existing resources. 5.6 Resources and their multiple contexts. 5.7 Tensions between resources. 5.8 Business relationships and resource development and use. 5.9 Resources in Time and Space. 5.10 Concluding remarks. Chapter 6 Interaction and Activities. 6.1 An Interactive Business Landscape Full of Activities. 6.2 Basic Propositions About the Nature of Activities. 6.3 Key Issues in Activity Configuration. 6.4 Central Features of Activities. 6.5 A Framework for Analysis of Activity Patterns. 6.6 Balancing in Activity Patterns Three Empirical Illustrations. 6.7 Concluding the Chapter. Chapter 7 Interaction and Actors. 7.1 Actors in an Interactive Landscape. 7.2 Actors in the IMP Research. 7.3 The Idea of Actors. 7.4 Distinctive Features. 7.5 Analysing Acting Actors. 7.6 Challenges in Conceptualizing Actors. 7.7 Final Considerations. Part 3 The Business Network as an Analytical Tool. Chapter 8 Management and Business Relationships. 8.1 Outline and Introduction. 8.2 When Management Theory is Coloured by the Idea of a Market. 8.3 When Relationships are Observed From a Market Based Management Perspective. 8.4. Conclusions Relationships and Still a Market? Chapter 9 Managing in the Business Network. 9.1 Introduction. 9.2 The Start The Relationship as a Unit of Analysis. 9.3 How Do Companies Interact? 9.4 How Should Companies Interact? 9.5 Managing and the Interacting Company. 9.6 Managerial Patterns in Business Networks. 9.7 Conclusions. Chapter 10 Evolution of the Business Landscape. 10.1 Introduction. 10.2 Time and the Business Landscape. 10.3 The Narrative of the Evolution of Economic organizing. 10.4 Re interpreting Business Evolution. 10.5 A Network View of Business Evolution. 10.6 Concluding Discussion. Chapter 11 Networks and Industrial Policy. 11.1 Networks One Word But Many Meanings. 11.2 What Principles are Network Policies Resting on? 11.3 The Taiwanese Semiconductor Development From Virgin Land to a Successful Business Network? 11.4 The Heaviness of Business Networks. 11.5 What's in the Shadow of a Successful Network? 11.6 The Dark Sides of Networks. 11.7 The Different Logics of Development, Production and Use. Chapter 12 Living in the Business Rainforest. 12.1 The Rainforest Metaphor. 12.2 Living in the Rainforest. 12.3 The Entrepreneur and the Business Rainforest. 12.4 The CEO and the Business Rainforest. 12.5 The Financial Accountant and the Business Rainforest. 12.6 The Consumer and the Business Rainforest. 12.7 The Politician and the Business Rainforest. 12.8 Conclusions. References. Index.
author_names: Hakan Hakansson

David Ford

Lars-Erik Gadde

Ivan Snehota

Alexandra Waluszewski
title: Business Networks
venue: Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
year: 2018

abstract: This edited collection applies the network approach to the analysis of business relationships in a global context. Drawing on a number of international case studies, a "network approach" is developed, giving rise to theoretical and practical managerial insights and a different way of conceptualizing companies within markets. New angles emerge on traditional problems of business management, with some novel implications which should challenge established ways to analyze business markets. Previous publications by these authors include, "Corporate Technological Behaviour" "Professional Purchasing" and "Managing Innovation Within Networks"
author_names: Hakan Hakansson

Ivan Snehota
title: Developing relationships in business networks
year: 1995

abstract: Predictive business process monitoring methods exploit logs of completed cases of a process in order to make predictions about running cases thereof. Existing methods in this space are tailor made for specific prediction tasks. Moreover, their relative accuracy is highly sensitive to the dataset at hand, thus requiring users to engage in trial and error and tuning when applying them in a specific setting. This paper investigates Long Short Term Memory (LSTM) neural networks as an approach to build consistently accurate models for a wide range of predictive process monitoring tasks. First, we show that LSTMs outperform existing techniques to predict the next event of a running case and its timestamp. Next, we show how to use models for predicting the next task in order to predict the full continuation of a running case. Finally, we apply the same approach to predict the remaining time, and show that this approach outperforms existing tailor made methods.
author_names: Niek Tax

Ilya Verenich

Marcello La Rosa

Marlon Dumas
title: Predictive Business Process Monitoring with LSTM Neural Networks
venue: CAiSE
year: 2017

abstract: We introduce a literature review considering articles on artificial neural networks in business published in last two decades.412 suitable articles are identified and classified according to defined methodology.We focus on date, area of interest, type of neural network, benchmark method, journal and citations.The most applied are multilayer feedforward networks with backpropagation learning performed by gradient descent algorithm.Majority (25.73% of the examined articles were published in Expert Systems with Applications. In recent two decades, artificial neural networks have been extensively used in many business applications. Despite the growing number of research papers, only few studies have been presented focusing on the overview of published findings in this important and popular area. Moreover, the majority of these reviews were introduced more than 15 years ago. The aim of this work is to expand the range of earlier surveys and provide a systematic overview of neural network applications in business between 1994 and 2015. We have covered a total of 412 articles and classified them according to the year of publication, application area, type of neural network, learning algorithm, benchmark method, citations and journal. Our investigation revealed that most of the research has aimed at financial distress and bankruptcy problems, stock price forecasting, and decision support, with special attention to classification tasks. Besides conventional multilayer feedforward network with gradient descent backpropagation, various hybrid networks have been developed in order to improve the performance of standard models. Even though neural networks have been established as well known method in business, there is enormous space for additional research in order to improve their functioning and increase our understanding of this influential area.
author_names: Michal Tkac

Robert Verner
title: Artificial neural networks in business: Two decades of research
venue: Appl. Soft Comput.
year: 2016

abstract: Abstract This article introduces the Special Issue of Managing Business and Innovation Networks and makes an independent contribution to the advancement of network management research. The study has three ambitious goals. First, it evaluates the main developments in network management research from 2000 to 2016, focusing on disciplinary openings. Second, it specifies the contributions of recent domain extensions (business fields, ecosystems, platform networks) to network management, and clarifies the role of networks and network management in these domains. Third, it proposes a general theory of network management based on the past 20 years of research in the field and the contributions of SI articles. The theory explains how the factors at three contextual levels environment, network and actor influence network management activities, forming patterns of management based on activity configurations. The framework consolidates our fragmented knowledge on network management and paves the way for more advanced research and management. We conclude with suggestions for future research.
author_names: Kristian Moller

Aino Halinen
title: Managing business and innovation networks From strategic nets to business fields and ecosystems
year: 2017

abstract: This paper is concerned with business model conceptualizations and outlines a framework for their analysis in industrial networks. A literature review suggests that there is a broad range of current conceptualizations of business models. Analyzing them as they pertain to interaction, business relationships, and industrial networks reveals two main explanations for their differences: first, they clearly rely on different basic theoretical assumptions, and second, they seem to address two types of business models. We refer to these as firm centric and network embedded business models. Based on this distinction, a scheme of analysis at the levels of the firm, relationship and network is suggested for the two types of business models. Business models are challenging from an analytical as well as managerial perspective. Further research on emerging network embedded business models is suggested
author_names: Lars Bankvall

Anna Dubois

Frida Lind
title: Conceptualizing business models in industrial networks
year: 2017

author_names: Morten T Hansen

Michael A Hitt
title: Knowledge Transfer in Intraorganizational Networks Effects of Network Position and Absorptive Capacity on Business Unit Innovation and Performance
year: 2007

abstract: Abstract Although informal knowledge networks have often been regarded as a key ingredient behind the success of industrial clusters, the forces that shape their structure and dynamics remain largely unknown. Drawing on recent network dynamic models, we analyze the evolution of business and technical knowledge networks within a toy cluster in Spain. Empirical results suggest that the dynamics of the two networks differ to a large extent. We find that status drives the formation of business knowledge networks, proximity is more crucial for technical knowledge networks, while embeddedness plays an equally important role in the dynamics of both networks.
author_names: Pierre-Alexandre Balland

Jose Antonio Belso-Martinez

Andrea Morrison
title: The Dynamics of Technical and Business Knowledge Networks in Industrial Clusters: Embeddedness, Status, or Proximity?
year: 2016

abstract: Abstract The era of social media networks has created significant opportunities for business relationship development yet there exists a paucity of research in this area. To address this, this paper identifies four key tensions within the current literature: relational versus transactional exchanges, emergent versus strategic social media network development, the pace of social media network formation versus the development of trust, and the notions of sharing and reciprocity versus competitive advantage. This study draws on the principles of netnography, incorporating data from 554 LinkedIn group interactions and 12 interviews with professionals in one global industry to provide insight into business relationship development stemming from one social media network. Significant contributions to theoretical and practical knowledge are made through the recognition of tensions in the literature, the application of the notion of Granovetter's ties to a contemporary context and the novel use of netnography. Furthermore, the resultant model conceptualises the use of social media networking in building networks and relationships which lead to new business and enhance business performance.
author_names: Sarah Quinton

Damien Wilson
title: Tensions and ties in social media networks: Towards a model of understanding business relationship development and business performance enhancement through the use of LinkedIn
year: 2016

abstract: Inside a multiunit organization, units can learn from each other and benefit from new knowledge developed by other units. Knowledge transfer among organizational units provides opportunities for mutual learning and interunit cooperation that stimulate the creation of new knowledge and, at the same time, contribute to organizational units' ability to innovate (e.g. Kogut Zander, 1992; Tsai
author_names: Wenpin Tsai
title: Knowledge Transfer in Intraorganizational Networks: Effects of Network Position and Absorptive Capacity on Business Unit Innovation and Performance
year: 2001