Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

scholarly journals Strategic alliance motivation for technology commercialization and product development

2014 ◽  
Vol 37 (6) ◽  
pp. 518-537 ◽  
Author(s):  
Kusumaphorn Sompong ◽  
Barbara Igel ◽  
Helen Lawton Smith
Keyword(s):  
Decision Making ◽  
Strategic Alliances ◽  
Structural Equation ◽  
Strategic Alliance ◽  
Positive Impact ◽  
Market Potential ◽  
Financial Benefit ◽  
Content Type ◽  
Alliance Performance ◽  
Alliance Partners

Purpose – This paper aims to investigate the relationship among alliance motivation (AM), execution of cooperation (EC) and alliance performance of strategic alliance for commercializing technology and developing products. Design/methodology/approach – The measurements were constructed and tested empirically through a survey of 320 strategic alliances in the food processing industry in Thailand. Confirmatory factor analysis and structural equation modelling were applied to refine scales for measuring AM, execution and cooperation performance. Findings – This research found that firms adopted social interaction with alliance partners in order to establish mutual expectations about technology characteristics, access opportunity and organisational management styles, factors that are shown to have positive influences on both commercial and partnership performance. Findings also confirm a significant positive impact of technology characteristics, access opportunity, market potential and financial benefit on the adoption of a formal partnership agreement, but a significant impact only on commercial performance. Research limitations/implications – Further research should use random samples in different industries in other emerging economies, and other data analysis methods to assess decision-making in strategic technology alliances that may include different types of partnerships. Practical implications – The findings are also useful for managers who leverage operations with external resources obtained through strategic alliances parameters both in the process of managing relationships and achieving results. Originality/value – This article contributes to extant literature by developing a practical measurement system of AM, actual EC and resulting performance in an emerging economy country. It also contributes to clarify the decision-making of firms that form strategic alliances for commercializing technology and developing products to facilitate more quality management research in other industries and countries.

The drivers of profitability in the top 30 major airlines worldwide

2016 ◽  
Vol 20 (2) ◽  
pp. 26-37 ◽  
Author(s):  
Ilídio Tomás Lopes ◽  
Duarte Pitta Ferraz ◽  
Ana Maria Gomes Rodrigues
Keyword(s):  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Content Type ◽  
Structural Capital ◽  
Test Of Hypotheses ◽  
Major Airlines ◽  
Capital Ownership ◽  
And Control ◽  
The Impact

Purpose The purpose of this study is to identify the impact of human and structural capital on profitability of major airlines and examine whether region, capital ownership and control and strategic alliance play a clustering effect on profitability. Design/methodology/approach Using information from the top 30 airlines worldwide, in particular human and structural capital proxies, a linear model is regressed. Test of hypotheses were performed towards the identification of the influence emerged from variables, such as region, capital ownership and control and strategic alliances, on intellectual capital drivers and profitability. Findings Turnover is driven by human and structural capital factors, namely: employee expenses and benefits; size of board of directors; intangible assets; codeshare agreements; and passenger traffic. Airlines profitability does not depend on region, capital ownership and control or strategic alliance in which the company is integrated. Research limitations/implications In spite of the limitations, we underline the range of time under analysis and the sample size. However, the current approach can be replicated over time and based in other rankings, structured on different metrics and approaches. Practical implications The empirical results provide both an understanding of how independent variables positively affect the performance of airlines and offer some explanation as to the relationship between key characteristics of firms and profitability. Originality/value The research adds value to the current literature by exploring the effects of new intellectual capital drivers on profitability of airlines firms. Focused on a sector that strongly contributes to improve the networking between nations, it provides a new and updated overview.

Impact of relatedness, uncertainty and slack on corporate entrepreneurship decisions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Garrett ◽  
Shaunn Mattingly ◽  
Jeff Hornsby ◽  
Alireza Aghaey
Keyword(s):  
Decision Making ◽  
Hierarchical Linear Modeling ◽  
Cognitive Strategies ◽  
Corporate Entrepreneurship ◽  
New Venture ◽  
Organizational Level ◽  
Linear Modeling ◽  
Slack Resources ◽  
Content Type ◽  
Positive Effect

PurposeThe purpose of this study is to evaluate the effect of opportunity relatedness and uncertainty on the decision of a corporate entrepreneur to pursue a venturing opportunity.Design/methodology/approachThe study uses a conjoint experimental design to reveal the structure of respondents' decision policies. Data were gathered from 47 useable replies from corporate entrepreneurs and were analyzed with hierarchical linear modeling (HLM).FindingsResults show that product relatedness, market relatedness, perceived certainty about expected outcomes and slack resources all have a positive effect on the willingness of a corporate entrepreneur to pursue a new venture idea. Moreover, slack was found to diminish the positive effect of product relatedness on the likelihood to pursue a venturing opportunity.Practical implicationsBy providing a better understanding of decision-making schemas of corporate entrepreneurs, the findings of this study help improve the practice of entrepreneurship at the organizational level. In order to make more accurate opportunity assessments, corporate entrepreneurs need to be aware of their cognitive strategies and need to factor in the salient criteria affecting such assessments.Originality/valueThis paper adds to the limited understanding of corporate-level decision-making with regard to pursuing venturing opportunities. More specifically, the paper adds new insights regarding how relatedness and uncertainty affect new venture opportunity assessments in the presence (or lack thereof) of slack resources.

A conceptual framework for wisdom-based decision-making process in audit profession

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hoang To Loan Nguyen
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Conceptual Framework ◽  
Research Process ◽  
Decision Making Process ◽  
Ethical Orientation ◽  
Content Type ◽  
External Auditors ◽  
Wise Decision ◽  
Knowledge Assimilation

PurposeWisdom is considered as crucial in decision-making in both management and auditing practice. This research aims to investigate the concept of wisdom in auditing, thereby empirically exploring the determinants of wisdom in audit decision-making and explaining inter-relations among these determinants.Design/methodology/approachThis study employs grounded theory methodology that is based on in-depth interviews with twenty-seven practicing auditors who are audit partners, managers, seniors and assistants of auditing firms. Guided by the grounded theory, data collection and data analyses were conducted simultaneously to look into the new insights of the research phenomenon. The coding process was constantly compared until the research's theoretical saturation is reached after four rounds. At the end of the research process, the study conducted a survey to confirm the proposed framework as well as examine the inter-relationships between the defined determinants.FindingsResults suggest developing a conceptual framework to interpret wisdom-based decision-making process in auditing. A wise process of audit decision-making is defined as an integrated exercise of multiple determinants including knowledge assimilation, judgmental ability and ethical orientation. The research also explains and examines the potential interrelationships among these determinants in the audit decision-making process.Practical implicationsWisdom is a valuable tacit ability for all external auditors. The development of wise decision-making abilities of auditors should be considered an integral part of multiple virtues including knowledge and judgmental and ethical aspects.Originality/valueThe contributions of this study are original and significant because it proposes a new approach to explain for the audit decision-making process and enhances better understandings of the concept of wisdom in auditing practices and its roles in audit decision-making.

Integration between knowledge management and business process management and its impact on the decision making process in the construction sector: a case study of Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Decision Makers ◽  
Decision Making Process ◽  
Construction Sector ◽  
Content Type

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

2019 ◽  
Vol 14 (1) ◽  
pp. 153-174 ◽  
Author(s):  
Shahbaz Khan ◽  
Mohd Imran Khan ◽  
Abid Haleem
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Specific Region ◽  
Integrative Approach ◽  
Decision Making Process ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Certification System ◽  
Expert’S Opinion

PurposeHigher level of customer satisfaction for halal products can be achieved by the effective adoption of halal certification through assessment and accreditation (HCAA). There are certain issues that seem detrimental towards the adoption of HCAA. The purpose of this paper is to identify the major barriers towards the adoption of HCAA and evaluate inter-relationships among them for developing the strategies to mitigate these barriers.Design/methodology/approachThe barriers towards the adoption of HCAA are identified through an integrative approach of literature review and expert’s opinion. The inter-relationship among the identified barriers is evaluated using fuzzy-based decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique, which categorises them into influential and influenced group.FindingsThe evaluation of inter-relationship among barriers using fuzzy DEMATEL indicates four influencing barriers and six influenced barriers towards the adoption of HCAA. Further, findings suggest an extensive government, and management support is vital in terms of commitment, resources and actions to realise the benefits attributed with HCAA.Research limitations/implicationsThe inter-relationship among barriers is contextual and based on the perception of experts which may be biased as per their background and area of expertise. This study pertains to a specific region and can be extended to the generalised certification system.Originality/valueThe empirical base of the research provides the inter-relationship among the barriers towards the adoption of HCAA which can be effectively used as input in the decision-making process by producers, manufacturers and distributor. The policy maker can analyse the cause group and effect group of barriers to formulate policies that would help in the adoption of HCAA.

Decision making, distributed leadership and the objective knowledge growth framework

2019 ◽  
Vol 34 (2) ◽  
pp. 217-231
Author(s):  
Stephanie Chitpin
Keyword(s):  
Decision Making ◽  
Distributed Leadership ◽  
School Leaders ◽  
Decision Makers ◽  
Decision Making Process ◽  
Objective Knowledge ◽  
Content Type ◽  
Education Leaders ◽  
Knowledge Growth ◽  
Analytical Approaches

Purpose The purpose of this paper is to know the extent to which a decision-making framework assists in providing holistic, comprehensive descriptions of strategies used by school leaders engaging with distributed leadership practices. The process by which principals and other education leaders interact various school-based actors to arrive at a distributed decision-making process is addressed through this paper. The position taken suggests that leadership does not reside solely with principals or other education leaders, but sustains the view that the actions of various actors within a school setting contribute to fuller and more comprehensive accounts of distributed leadership. Design/methodology/approach While the application of rational/analytical approaches to organizational problems or issues can lead to effective decisions, dilemmas faced by principals are often messy, complex, ill-defined and not easily resolved through algorithmic reason or by the application of rules, as evidenced by the two stories provided by Agnes, a third-year principal in a small countryside elementary school in a small northeastern community, and by John, a novice principal in a suburb of a large Southwestern metropolitan area. Findings The value of the objective knowledge growth framework (OKGF) process is found in its ability to focus Agnes’s attention on things that she may have overlooked, such as options she might have ignored or information that she might have resisted or accepted, as well as innumerable preparations she might have neglected had she not involved all the teachers in her school. Research limitations/implications The implementation of the OKGF may appear, occasionally, to introduce unnecessary points along this route and may not be laboriously applied to all decision-making situations. However, the instinctively pragmatic solutions provided by this framework will often produce effective results. Therefore, in order to reduce potentially irrational outcomes, the systematic approach employed by the OKGF is preferable. The OKGF must be managed, implemented and sustained locally if it is to provide maximum benefits to educational decision makers. Practical implications Given the principals’ changing roles, it is abundantly clear that leadership practice can no longer involve just one person, by necessity, and it is becoming increasingly difficult to imagine how things could have been accomplished otherwise. Expecting the principal to single-handedly lead efforts to improve instruction is impractical, particularly when leadership may be portrayed as what school principals do, especially when other potential sources of leadership have been ignored or treated as secondary or unimportant because that leadership has not emanated from the principal’s office (Spillane, 2006). In this paper, the authors have striven to reveal how a perspective of distributed leadership, when used in conjunction with the objective knowledge growth framework, can be effective in assisting principals in resolving problems of practice. Social implications Different school leaders of varying status within the educative organization benefit from obtaining different answers to similar issues, as evidenced by John’s and Agnes’s leadership tangles. Lumby and English (2009) differentiate between “routinization” and “ritualization.” They argue, “They are not the same. The former erases the need for human agency while the latter requires it” (p. 112). The OKGF process, therefore, cannot provide school leaders with the “right” answers to their educative quandaries, simply because any two school leaders, facing the same issues, may utilize differing theories, solutions, choices or options which may satisfy their issues in response to their own individual contextual factors. Similarly, in a busy day or week, school leaders may be inclined to take the shortest distance between two points in the decision-making process; problem identification to problem resolution. Originality/value Should the OKGF process empower decision makers to obtain sound resolutions to their educative issues by assisting them in distancing themselves from emotions or confirmation biases that may distract them from resolving school problems, its use will have been worthwhile.

scholarly journals Data competence maturity: developing data-driven decision making

2018 ◽  
Vol 11 (2) ◽  
pp. 139-158 ◽  
Author(s):  
Thomas G. Cech ◽  
Trent J. Spaulding ◽  
Joseph A. Cazier
Keyword(s):  
Decision Making ◽  
Secondary Education ◽  
Data Science ◽  
Data Driven ◽  
Decision Making Process ◽  
Maturity Model ◽  
Data Driven Decision Making ◽  
Content Type ◽  
Development Data ◽  
Education Performance

Purpose The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education. Design/methodology/approach Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education. Findings The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process. Practical implications Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes. Originality/value This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

scholarly journals Executive decision-making in fashion retail: a phenomenological exploration of resources and strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Danielle Sponder Testa ◽  
Elena E. Karpova
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Phenomenological Approach ◽  
Study Data ◽  
Decision Making Process ◽  
Business Decision ◽  
Content Type ◽  
External Data ◽  
Executive Decision Making ◽  
Fashion Retail

PurposeDecision-makers must be well-informed to successfully impact the future of the business. The purpose of this study was to explore experiences of US fashion retail executives when making business decisions to understand what resources and strategies are utilized within the decision-making process. Additionally, the role of academic research within executive decision-making process was explored.Design/methodology/approachThis study utilized a phenomenological approach to understand the experiences of fashion retail executives when engaging in business decision-making. Fifteen US fashion retail executives participated in the study. Data were collected through in-depth individual interviews and thematically coded to gain a holistic perspective of the decision-making process within the fashion retail industry.FindingsAs the result of the data analysis and interpretation, three topical areas emerged:: “Incredible Amounts of Information,” “Industry Specific Academic Research” and “Have a Clear Road Map.” The findings suggested that while the facts gleaned from internal and external data are of great importance to fashion professionals, insights gathered from social media are equally influential within the decision-making process. The authors identified five major strategies utilized consistently by fashion retail executives regardless of the type of business they represented: collaboration, adaptability, speed, gut instinct and creativity.Research limitations/implicationsThe results are important to fashion retail companies for improving internal decision-making processes. The identified resources and strategies of the decision-making process can be incorporated into fashion program curricula and considered as learning outcomes when preparing future industry professionals.Originality/valueLimited studies have explored the decision-making process specific to the fashion retail environment, an uncertain and ever-changing industry. Further, the study shed light on the opportunity for academic research use in fashion retail decision-making and contributes to the literature by developing a fashion retail decision-making model.

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