scholarly journals The Choice of Foreign-Market Investment Modes: An Empirical Analysis Using Transaction-Cost and Organizational Learning Frameworks

2012 ◽  
Vol 7 (15) ◽  
Author(s):  
Thanh Tu Phan ◽  
Manh Chiên Vu
Keyword(s):  
Organizational Learning ◽  
Transaction Cost ◽  
Empirical Analysis ◽  
Foreign Market ◽  
Learning Frameworks

Learning for sharing: an empirical analysis of organizational learning and knowledge sharing

2011 ◽  
Vol 7 (4) ◽  
pp. 509-518 ◽  
Author(s):  
Leonardo Iebra Aizpurúa ◽  
Pablo E. Zegarra Saldaña ◽  
Alejandro Zegarra Saldaña
Keyword(s):  
Organizational Learning ◽  
Knowledge Sharing ◽  
Empirical Analysis

COMPETENCIES FOR ORGANIZATIONAL INNOVATION POTENTIAL: AN EMPIRICAL ANALYSIS ON INDIAN INFORMATION TECHNOLOGY (IT) ORGANIZATIONS

2011 ◽  
Vol 15 (04) ◽  
pp. 667-685 ◽  
Author(s):  
SANGHAMITRA GOSWAMI ◽  
Mary Mathew
Keyword(s):  
Information Technology ◽  
Logistic Regression ◽  
Organizational Learning ◽  
Empirical Analysis ◽  
Organizational Innovation ◽  
Business Development ◽  
Innovation Potential ◽  
New Business ◽  
Managerial Implications ◽  
It Organizations

This study examines competencies that contribute to innovation in Indian Information Technology organizations (n = 42). These competencies were conceptualized and measured in this paper. Their measurement is described. A cluster of low and high potentially innovative organizations, based on measures from an earlier study by the authors, is used to understand the competencies in the context of innovation. An organizational innovation potential score categorized organizations as innovative (high) and less innovative (low) organizations. Logistic regression was done to assess the competencies of low and high innovative organizations. Results showed that product breadth competency, innovation adaptability competency, new business development competency and organizational learning competency contribute to organizational innovation potential. The paper discusses research and managerial implications.

scholarly journals Knowledge acquisition throughout the lifecycle: product and industry learning frameworks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ferran Vendrell-Herrero ◽  
Emanuel Gomes ◽  
Marco Opazo-Basaez ◽  
Oscar F. Bustinza
Keyword(s):  
Organizational Learning ◽  
Conceptual Development ◽  
Learning By Doing ◽  
Theoretical Problem ◽  
Digital Innovation ◽  
Dominant Type ◽  
Content Type ◽  
Different Types ◽  
Learning Frameworks ◽  
Insight Into

Purpose The purpose of this paper is to distinguish clearly between industry (ILC) and product lifecycle (PLC) models and to elucidate their different ramifications for organizational learning and knowledge. Design/methodology/approach The authors examine existing knowledge on ILCs and PLCs to highlight the differences and similarities and develop a framework with implications for learning and innovation in digital manufacturing industries. Findings The authors identify and associate one dominant type of learning with each phase of the ILC: learning-by-participating in the introduction phase, learning-by-feedback in the growth phase, vicarious learning in the maturity phase and learning-by-memory in the decline phase. The study also provides insight into how different types of learning influence PLC in digital innovation. From this perspective, learning-by-feedback is crucial to co-creation, co-production and open innovation. Similarly, learning-by-doing and learning-by-memory are essential to production and usage stages, respectively. Research limitations/implications The conceptual development in this paper follows a somewhat critical but ultimately elucidative analysis that highlights important research avenues in the interplay of PLC/ILC, organizational learning and digital innovation. Originality/value This paper clarifies a perennial theoretical problem by differentiating two concepts often conflated in the literature. More importantly, it contributes to the knowledge management literature by shedding light on the connection of ILC and PLC theories to different types of organizational learning.

scholarly journals Choosing Between Safeguards: Scope and Governance Decisions in R&D Alliances

2018 ◽  
Vol 46 (3) ◽  
pp. 359-384 ◽  
Author(s):  
Constantinos S. Lioukas ◽  
Jeffrey J. Reuer
Keyword(s):  
Knowledge Sharing ◽  
Transaction Cost ◽  
Empirical Analysis ◽  
Transaction Cost Economics ◽  
Governance Structure ◽  
Theoretical Issue ◽  
Control Mechanisms ◽  
Functional Activities ◽  
Multiple Partners ◽  
Ex Post

Research on transaction cost economics has emphasized the choice of an appropriate governance structure as an important mechanism in alleviating exchange hazards in interfirm transactions, yet firms may also manipulate the characteristics of a transaction to make it less hazardous in the first place by carefully selecting the activities or assets involved in the transaction. In this paper, we explore this theoretical issue in transaction cost economics by examining how firms design R&D alliances to mitigate appropriation hazards in these interfirm transactions. In particular, we investigate when firms will prefer to limit the scope of functional activities involved in an R&D alliance, thus addressing appropriation hazards directly by manipulating the alliance’s characteristics, versus when they will opt for an equity-based governance structure in order to mitigate appropriation hazards ex post. We argue that firms are more likely to limit the scope of alliance activities rather than choose an equity-based governance structure when there are multiple partners in an alliance and when the partners are from different nations, because monitoring and other control mechanisms become more cumbersome and problematic in these circumstances. In contrast, firms that are direct competitors are more likely to choose an equity-based governance structure in order to mitigate exchange hazards, such as knowledge misappropriation, through carefully monitored knowledge sharing. Empirical analysis of data on R&D alliances in a variety of industries provides support for our arguments regarding alliances involving multiple partners and alliances between competitors. We discuss the implications of our study for research on transaction cost economics.

scholarly journals An empirical analysis of machine learning frameworks for digital pathology in medical science

2021 ◽  
Vol 1767 (1) ◽  
pp. 012031
Author(s):  
S.K.B. Sangeetha ◽  
R Dhaya ◽  
Dhruv T Shah ◽  
R Dharanidharan ◽  
K. Praneeth Sai Reddy
Keyword(s):  
Machine Learning ◽  
Empirical Analysis ◽  
Medical Science ◽  
Digital Pathology ◽  
Learning Frameworks

Influence Factor Analysis of Multi-Stage Management Engineering for Multinational Micro Businesses: An Empirical Analysis Using Data Envelopment Analysis

2014 ◽  
Vol 12 ◽  
pp. 15-24
Author(s):  
Bin Wang ◽  
Jun Li
Keyword(s):  
Data Envelopment Analysis ◽  
Empirical Analysis ◽  
Influence Factor ◽  
Influence Factors ◽  
Political Risk ◽  
Foreign Market ◽  
Data Envelopment ◽  
Labor Conditions ◽  
Political Risks ◽  
Multi Stage

In recent years, to a large extent the emergence and development of micro businesses has shown the gaps of comparative advantages between large and medium sized enterprises and small enterprises. Owing to its economics of scope in production, micro businesses contribute to the development and prosperity of the overall market. For the multinational micro business, it is exposed to associated micro political risks in a foreign market in different developing stages (i.e. startup, developing, and mature periods). However, literature review indicates that little work has been done to assess and manage the political risks of multinational micro businesses, let alone provide the multi-stage analysis. To address this problem, this paper develops a multi-stage data envelopment analysis (MSDEA) model to investigate the influence of micro political risks on the efficiency of multinational micro businesses. The main influence factors of the micro political risks in the host country in different stages of startup, developing, and mature periods have been modeled by the MSDEA, to provide new perspectives on the influence mechanism of micro political risk on the multinational micro business. Then the decision makers can assess their companies’ micro political risks in different stages and hence develop target-oriented risk prevention policies. Empirical analysis has been implemented in this paper, along with discussion of potential strategies on assessment and management of the micro political risks for multinational micro businesses. The analysis results demonstrate that the factor of labor conditions was the critical one in the development of the multinational micro business in the startup stage. Good labor conditions may be more likely to avoid micro political risk. The factor of the congruence with national economic interests and goals also impacted the development of the multinational micro business in the startup stage. Hence, the findings of this work could provide valuable reference for multinational micro businesses in restraining the micro political risk.

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