Preface

Chapter 8 **Affective Technology Acceptance Model: Extending**

Chapter 9 **The Impact of the Internet of Things to Value Added in Knowledge‐Intensive Organizations 169** Maja Meško, Jana Suklan and Vasja Roblek

Chapter 10 **Knowledge Management Trends in Biotechnology**

Chapter 12 **Knowledge‐Based Assignment Model for Allocation of**

Matjaz Roblek, Maja Zajec and Benjamin Urh

**Emerging Chinese Hotel Industry 239** Tommy Wong, Linda French and Mark Wickham

Chapter 14 **Widening the Understanding of Risk Approaches by**

Steven Ndugwa Kabwama and Jesper Bo Nielsen

Maria de Fátima Ebole Santana

**Section 2 Knowledge Management Applications 167**

**Negative Affect 147**

**VI** Contents

**in Brazil 187**

**Benefits 207**

**Technology Acceptance Model with Positive and**

Angela Lee Siew Hoong, Lip Sam Thi and Mei-Hua Lin

Chapter 11 **Exploring the Impact of Online Clinical Guidelines on Individual Knowledge Management Behaviors and Individual Net**

Shofang Chang, Tain‐Junn Cheng and Chung‐Hsien Chan

**Employees in Engineering‐to‐Order Production 217**

Chapter 13 **An Examination of the Knowledge Management Process in the**

**Comparing Definitions from Different Disciplines 253** Gabriele Berg‐Beckhoff, Peter Wiedemann, Balázs Ádám, Joachim Schüz, Kristian Breum Ølgaard, Pernille Tanggaard Andersen,

Since the use of Knowledge work by the management guru of all time Peter Drucker (1994), the world economy has gone through more structural changes and transformations. The globalization, digitalization and accelerated servitization of the economy have created a for‐ midable context of accelerated competition and coopetition and the role of "knowledge management" becomes fundamental for organizations to survive and sustain in a dynamic competitive world. Rise of information and communication technologies (ICT) and social media have accelerated flow of information and data to such extent that it becomes chal‐ lenging for managers to retain, read and keep organized of all those knowledge flows. A set of behaviors, processes and technologies are needed to efficiently manage the accelerated flow of information in order to improve learning, decision-making and innovation for busi‐ ness successes. The objective of knowledge management (KM) is to effectively use, develop and mobilize the expertise of the organization and apply them for achieving organization's strategic goals such as competitive advantage. Knowledge management involves with knowledge creation, knowledge retention and knowledge transfers. It can help to improve operational excellence by improving internal practices and processes of the organization to make it better, faster, cheaper, safer and cleaner. It can also help to improve innovation ca‐ pability and growth of the organization. There are different kinds of knowledge such as tacit and explicit knowledge in organization. There are also different purposes of knowledge management in different kind of organizations from resource economy, industrial organiza‐ tions as well as service economy including knowledge intensive business services (KIBS). The context of these different organizations for knowledge creation, retention and dissemi‐ nation differs from one another and requires cross-disciplinary approaches. This book on "Knowledge Management Strategies and Applications" addresses the cross-disciplinary ap‐ proaches of knowledge management of various kinds of organizations by proposing 14 chapters divided into two parts. The first part of the book proposes 8 chapters addressing knowledge management strategies and the second part of the book addresses the knowl‐ edge management application in different sector of activities.

In part 1, the first chapter addresses the tacit knowledge sharing strategies. Author Jose Rob‐ erto Ferretti and Maria da Conceicao L. Afonso conclude that organizations are moving from traditional approach of tangible assets toward intangible such as tacit knowledge, which is becoming an increasingly generator of growth and innovation. The second chapter explores the way organizations can become more innovative by developing capabilities of its human resources. Authors Michael Beyerlein, Rachele Collins, Shinhee Jeong, Christi Phillips, Suravee Sunalai and Lei Xie propose a model that ties human resource develop‐ ment practices to knowledge management strategies for developing innovation capabilities. The third chapter addresses the strategies on how the influence of network market orienta‐

tion (NMO) on born global (BG) competitiveness is mediated by absorptive capacity. Au‐ thors Diego Monferrer Tirado and Marta Estrada Guillen conclude that absorptive capacity positively influences the firm's capacity to exploit the new relational knowledge and im‐ prove the competitiveness and international performance of born global firms. The fourth chapter examines three major KM pillars, including people, process and technology for ef‐ fective KM deployment. Authors Ivy Chan shows that a hybrid KM strategy is more effec‐ tive than a strategy focusing on any particular pillar. The fifth chapter presents the challenges and strategies of KM in informally structured domains that need "Requirements Elicitation (RE)" approach. Authors Karla Olmos-Sánchez and Jorge Rodas-Osollo propose an integrated approach to face challenges posed by "Requirement elicitation (RE)" issue. Chapter 6 deals with "causal mapping" approach of knowledge management for perform‐ ance management (PM) of organizations. However, Causal mapping offers a low quality of the identified causal structures of success factors (SFs). Authors Sarah Kölbel, Wolfgang Os‐ sadnik and Stefan Gergeleit propose to apply DEMATEL in the mapping context to mini‐ mize subjectivity by a systematic and transparent pairwise evaluation of the SFs. Chapter 7 explores the strategies of intelligent knowledge retrieval from industrial repositories. Au‐ thors Antonio Martin, Mauricio Burbano, and Carlos León present a model that supports efficient retrieval knowledge from digital repositories. Chapter 8 attempts to understand knowledge workers' behavioral intention to use the knowledge sharing tools (KS tools) in their day-to-day tasks. By using affective technology acceptance model, authors Angela Lee Siew Hoong, Tong-Ming Lim, Lip Sam, and Thi, Mee Hua, Lin conclude that negative affect (NA) does not have any impact on perceived usefulness (PU). However, NA has negative influence on behavioral intention (BI) but very significant negative influence on perceived ease of use (PEOU). The outcomes also highlight that PA has very significant positive influ‐ ence on PU, PEOU and BI with impact on PEOU being the greatest.

In part 2, Chapter 9 explores the knowledge management application in industry 4.0 in an era of Internet of Things (IoT) and how IoT influence organizational changes in knowledge intensive organizations. Authors Maja Meško and Vasja Roblek show the knowledge shar‐ ing applications within the organization and with the external partners such as suppliers and customers. Chapter 10 explores knowledge management trends and applications in bio‐ technology field in Brazil. Author Maria de Fatima Ebole Santana finds that KM applications in biotechnology in Brazil are focused on its local context as well as follow the world trends. Chapter 11 explores the KM applications in online clinical guidelines and how the use of online clinical guidelines influences individual knowledge management behaviors and the net benefits. Authors Chung-Hsien Chan, Tain-Junn Cheng, and Shofang Chang demon‐ strate different influential models of online clinical guidelines between physicians and physician assistants. Chapter 12 addresses the application of knowledge-based assignment model for allocation of employees in Engineering-to-Order production system. Authors Matjaz Roblek, Maja Zajec, and Benjamin Urh studied an option for adjusting processes to available knowledge. Chapter 13 addresses the application of KM in hotel industry. Authors Tommy Wong, Linda French and Mark Wickham present an analysis of the KM issues and processes experienced in hotel industry in China. Chapter 14 explores the meaning of "risk" from across the disciplines. Authors Gabriele Berg-Beckhoff, Peter Wiedemann, Balázs Ádám, Joachim Schüz; Kristian Breum Ølgaard, Pernille Tanggaard Andersen, Steven Ndugwa Kabwama, Arounda Jesper and Bo Nielsen conclude that discipline differences are mainly connected to the terminology and interpretation of key concepts but the differences are based on different tasks and perspectives.

The proposed 14 articles constitute an important body of knowledge (BoK) on KM strategies and applications. These articles promote both emergent and managerial approach of KM in the organization. KM strategies' applications in both production and knowledge intensive business service (KIBS) firms demonstrated the context and applications of KM strategies and highlighted differences in applying KM in different sector of firms. We believe our reader will enjoy reading these timely chapters on KM strategies and applications.

We acknowledge the contributions of and indebted to anonymous reviewers of this book.

With warmest regards,

tion (NMO) on born global (BG) competitiveness is mediated by absorptive capacity. Au‐ thors Diego Monferrer Tirado and Marta Estrada Guillen conclude that absorptive capacity positively influences the firm's capacity to exploit the new relational knowledge and im‐ prove the competitiveness and international performance of born global firms. The fourth chapter examines three major KM pillars, including people, process and technology for ef‐ fective KM deployment. Authors Ivy Chan shows that a hybrid KM strategy is more effec‐ tive than a strategy focusing on any particular pillar. The fifth chapter presents the challenges and strategies of KM in informally structured domains that need "Requirements Elicitation (RE)" approach. Authors Karla Olmos-Sánchez and Jorge Rodas-Osollo propose an integrated approach to face challenges posed by "Requirement elicitation (RE)" issue. Chapter 6 deals with "causal mapping" approach of knowledge management for perform‐ ance management (PM) of organizations. However, Causal mapping offers a low quality of the identified causal structures of success factors (SFs). Authors Sarah Kölbel, Wolfgang Os‐ sadnik and Stefan Gergeleit propose to apply DEMATEL in the mapping context to mini‐ mize subjectivity by a systematic and transparent pairwise evaluation of the SFs. Chapter 7 explores the strategies of intelligent knowledge retrieval from industrial repositories. Au‐ thors Antonio Martin, Mauricio Burbano, and Carlos León present a model that supports efficient retrieval knowledge from digital repositories. Chapter 8 attempts to understand knowledge workers' behavioral intention to use the knowledge sharing tools (KS tools) in their day-to-day tasks. By using affective technology acceptance model, authors Angela Lee Siew Hoong, Tong-Ming Lim, Lip Sam, and Thi, Mee Hua, Lin conclude that negative affect (NA) does not have any impact on perceived usefulness (PU). However, NA has negative influence on behavioral intention (BI) but very significant negative influence on perceived ease of use (PEOU). The outcomes also highlight that PA has very significant positive influ‐

VIII Preface

ence on PU, PEOU and BI with impact on PEOU being the greatest.

are based on different tasks and perspectives.

In part 2, Chapter 9 explores the knowledge management application in industry 4.0 in an era of Internet of Things (IoT) and how IoT influence organizational changes in knowledge intensive organizations. Authors Maja Meško and Vasja Roblek show the knowledge shar‐ ing applications within the organization and with the external partners such as suppliers and customers. Chapter 10 explores knowledge management trends and applications in bio‐ technology field in Brazil. Author Maria de Fatima Ebole Santana finds that KM applications in biotechnology in Brazil are focused on its local context as well as follow the world trends. Chapter 11 explores the KM applications in online clinical guidelines and how the use of online clinical guidelines influences individual knowledge management behaviors and the net benefits. Authors Chung-Hsien Chan, Tain-Junn Cheng, and Shofang Chang demon‐ strate different influential models of online clinical guidelines between physicians and physician assistants. Chapter 12 addresses the application of knowledge-based assignment model for allocation of employees in Engineering-to-Order production system. Authors Matjaz Roblek, Maja Zajec, and Benjamin Urh studied an option for adjusting processes to available knowledge. Chapter 13 addresses the application of KM in hotel industry. Authors Tommy Wong, Linda French and Mark Wickham present an analysis of the KM issues and processes experienced in hotel industry in China. Chapter 14 explores the meaning of "risk" from across the disciplines. Authors Gabriele Berg-Beckhoff, Peter Wiedemann, Balázs Ádám, Joachim Schüz; Kristian Breum Ølgaard, Pernille Tanggaard Andersen, Steven Ndugwa Kabwama, Arounda Jesper and Bo Nielsen conclude that discipline differences are mainly connected to the terminology and interpretation of key concepts but the differences

### **Dr. Muhammad Mohiuddin,**

Thompson Rivers University, Kamloops, British Columbia, Canada

> **Dr. Norrin Halilem** Laval University, Canada

**Dr. SM Ahasanul Kobir** University of Pittsburgh, Pittsburgh, USA

**Dr. Cao Yuliang,** Tianjin University of Technology, China

**References**

[1] Drucker, P. F. (1994). The Age of Social Transformation. Atlantic Monthly, 274(5): 53-80.

**Knowledge Management Strategies**

**Provisional chapter**
