scholarly journals The factors influencing technological entrepreneurship in nanotechnology businesses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tayebeh Nikraftar ◽  
Elahe Hosseini ◽  
Elham Mohammadi
Keyword(s):  
Analysis Method ◽  
Business Managers ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Technological Entrepreneurship ◽  
Executive Managers ◽  
Economic Modernization ◽  
Vital Factor

PurposeTechnological entrepreneurship has been a very significant topic in recent decades. It has a crucial role in economic modernization and growth. The need for technological entrepreneurship is because technology-based industries are expanding rapidly and are replacing traditional industries. Therefore, this study aimed at identifying the factors affecting the success of technological entrepreneurship in Iranian nanotechnology businesses.Design/methodology/approachThe research was conducted through mixed method. The participants in the qualitative section included 17 university experts and executive managers in the field of nanotechnology in Iran, and 75 nanotechnology business managers participated in the quantitative section. The interview and questionnaire were used to collect information. In order to measure and fit the models, the confirmatory factor analysis method and PLS3 software were used.FindingsThe results indicated that the key factors affecting the success of the technological entrepreneurship process in nanotechnology were classified into five general categories: organizational, environmental, institutional, individual and technology factors. Moreover, it was shown that all these dimensions had a positive and significant effect on technological entrepreneurship. In addition, the organizational dimension has an essential role.Originality/valueCompanies' ability to engage technological entrepreneurship is a vital factor in human resource management and strategic management. However, technological entrepreneurship in Iranian nanotechnology businesses has not been involved integrally in the context of companies.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

Factors affecting BIM application in China: a social network model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuangliang Tai ◽  
Yao Zhang ◽  
Ting Li
Keyword(s):  
Social Network ◽  
Network Model ◽  
Information Modeling ◽  
Information Communication ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Building Information ◽  
Management Modes ◽  
Definition Of

Purpose The purpose of this paper is to promote the application of building information modeling (BIM) in China’s construction industry, key factors and their relationships are explored. Design/methodology/approach Based on a literature review, 28 factors were extracted and their relationships (239 in total) obtained using the Delphi method. A social network model of the factors was constructed and factors were analyzed using social network analysis (SNA). Findings The top 10 key factors and their relationships were obtained using SNA. Among the top 10 critical factors, six were source factors. They were: training for the application of BIM, guidance from experts, proper management modes, efficient BIM teams, specifications and demonstrations and standards for building information communication. The other four factors included as follows: a willingness to accept BIM, knowledge of its value and benefits, the definition of its benefits and the availability of IT software and hardware. These were mediating factors that could further the influence of the source factors. Originality/value The results provide useful information for public agencies and professionals to understand the immediate and mediating influences of the factors on the application of BIM. Solutions and future efforts for different participants are presented to promote the application of BIM-based on the key factors and their relationships.

Investment apportionments among participants of PPP rental retirement villages

2019 ◽  
Vol 10 (1) ◽  
pp. 64-77
Author(s):  
Shijing Liu ◽  
Hongyu Jin ◽  
Chunlu Liu ◽  
Benzheng Xie ◽  
Anthony Mills
Keyword(s):  
Pension Funds ◽  
Return Rate ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Investment Allocation ◽  
Research Findings ◽  
The Government ◽  
Mean Variance

Purpose The purpose of this paper is to examine public–private partnership (PPP) approaches for the construction of rental retirement villages in Australia and to allocate the investment proportions under a certain project return rate among three investors which are the government, private sectors and pension funds. The apportionment will achieve a minimum overall investment risk for the project. Design/methodology/approach Capital structure, particularly determination of investment apportionment proportions, is one of the key factors affecting the success of PPP rental retirement villages. Markowitz mean-variance model was applied to examine the investment allocations with minimum project investment risks under a certain projected return rate among the PPP partners for the construction of rental retirement villages. Findings The research findings validate the feasibility of the inclusion of pension funds in the construction of PPP rental retirement villages and demonstrate the existence of relationships between the project return rate and the investment allocation proportions. Originality/value This paper provides a quantitative approach for determination of the investment proportions among PPP partners to enrich the theory of PPP in relation to the construction of rental retirement villages. This has implications for PPP partners and can help these stakeholders make vital contributions in developing intellectual wealth in the PPP investment area while providing them with a detailed guide to decision making and negotiation in relation to investment in PPP rental retirement villages.

Developing a scale for brand competitive positioning: a study in the home appliance industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Effat Sadat Mahboobi Renani ◽  
Seyed Fathollah Amiri Aghdaie ◽  
Majid Mohammad Shafiee ◽  
Azarnoush Ansari
Keyword(s):  
Mixed Method ◽  
Marketing Communication ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Perceived Price ◽  
Home Appliance ◽  
The Mind

Purpose The purpose of this study is to identify the factors affecting brand competitive positioning (BCP) and its components in the home appliance industry and also to develop a scale for it, considering both the seller’s and the buyer’s side. Design/methodology/approach The factors were investigated both qualitatively and quantitatively. Data was collected from findings of previous research as well as interviews with experts in the industry. After conducting thematic analysis, the extracted factors were confirmed by experts. A total of 400 samples was used to test the BCP scale. Respondents were the customers of some selected home appliance brands. Findings The results of exploratory and confirmatory factor analyses indicated that seven main factors influenced BCP, including product quality, service quality, perceived price, sales and distribution, marketing communication, market orientation and reputation and background. Also, the five components of BCP are distinctiveness, desirability, credibility, value for money and top of the mind awareness. Originality/value Modelling a new scale on BCP is of considerable importance. Using mixed method, the current study presents a new scale named Brand Competitive Positioning Scale.

Research on software synchronization method of real-time ethernet distributed motion control system

2019 ◽  
Vol 39 (5) ◽  
pp. 904-916
Author(s):  
Zhengyu Huang ◽  
Lingyu Chen ◽  
Lianchao Zhang ◽  
Shixun Fan ◽  
Dapeng Fan
Keyword(s):  
Control System ◽  
Real Time ◽  
Motion Control ◽  
Key Factors ◽  
Motion Control System ◽  
Content Type ◽  
Factors Affecting ◽  
Synchronization Method ◽  
Factors Influencing ◽  
Synchronization Performance

Purpose This paper aims to analyze the key factors influencing the synchronization performance of distributed motion control system and to improve the synchronization performance for peripherals control of this system. Design/methodology/approach This paper deals with the software synchronization problems of distributed motion control system based on real-time Ethernet. First, combined with communication and control tasks, the key factors affecting synchronization performance of system are analyzed. Then, aiming at key factors and considering the synchronization of system bus, protocol conversion and task scheduling, a software synchronization method based on CANopen protocol and real-time Ethernet is proposed. Finally, the feasibility of this method is verified by establishing distributed motion control system and testing the synchronization performance of terminal control signals of slaves. Findings Based on this method, the results show that the synchronization accuracy for peripherals control of all slaves could be about 100 ns. Practical implications This research provides high-precision synchronization method, which could lay a foundation for the application of distributed motion control system in the field of assembly automation, such as multi-axis assembly robots control. Originality/value In distributed motion control system, many factors affect the synchronization performance. At present, there is no synchronization method that could comprehensively consider these factors. This paper not only analyzes the key factors influencing the synchronization performance of system but also proposes a synchronization method. Therefore, the method proposed in this paper has certain theoretical value and engineering significance.

Towards a unifying theory of management standard implementation

2014 ◽  
Vol 34 (10) ◽  
pp. 1269-1306 ◽  
Author(s):  
Albena Ivanova ◽  
John Gray ◽  
Kingshuk Sinha
Keyword(s):  
Information Technology ◽  
Success Factors ◽  
Theoretical Framework ◽  
Iso 14001 ◽  
Management Support ◽  
Key Factors ◽  
Support Design ◽  
Content Type ◽  
Factors Affecting ◽  
Alternative Pathways

Purpose – The purpose of this paper is to develop an integrated theoretical framework of the interrelation of the key success factors in the process of standards implementation. Design/methodology/approach – Extensive case study work was carried out in ten American plants that had adopted ISO 9001 and or ISO 14001. First, within-case analysis captures the uniqueness of the implementation processes at each plant and leads to construction of the causal maps. Next, cross-case comparison identifies the key factors and the relationship between them, resulting in the theoretical framework. Findings – The key factors affecting implementation effectiveness include focus on internal improvement, top management support, design of the system around existing processes, use of information technology, positive employees’ attitude, and employees’ usage of the system. The resulting framework suggests three alternative pathways to effective implementation of standards: (i) incentives pathway, i.e., by providing the right incentives; (ii) integration pathway, i.e., by designing the system around existing processes; and (iii) information technology pathway, i.e., by using information technology. Research limitations/implications – The key contribution of this research is the integrated theoretical framework. Practical implications – Practically, this framework provides managers a clear depiction of the key actions required at each stage of standard implementation. Originality/value – To the best of our knowledge, this is the first integrated framework of the factors affecting standard adoption. We believe this framework is applicable to other meta-standards.

scholarly journals Obtaining the Factors Affecting Bioeconomy

2019 ◽  
Vol 23 (1) ◽  
pp. 277-291 ◽  
Author(s):  
Indra Muizniece ◽  
Lauma Zihare ◽  
Dagnija Blumberga
Keyword(s):  
Scientific Literature ◽  
Value Added ◽  
Decisive Role ◽  
Analysis Method ◽  
System Dynamics Model ◽  
Key Factors ◽  
Dynamics Model ◽  
Factors Affecting ◽  
Development Scenarios ◽  
Link Strength

Abstract At the scientific level it is being increasingly recognised that the concept of bioeconomy has transdisciplinary nature, but there is still no consensus on key factors that would accelerate the development of sustainable bioeconomy. Therefore, within the framework of this study, certain factors, their interactions and link strength with bioeconomy from a scientific perspective are identified. A bibliometric analysis method is used to achieve this aim in such a way that the keyword information on the published scientific literature in relation to the bioeconomy is translated into quantifiable data. This way the relevance of the bioeconomy factors and the strength of their direct and mutual interaction with the bioeconomy will be determined. From this study it can be concluded that the strongest links with bioeconomy are for biomass, bioenergy, biotechnology and innovations. No significant link was found for such factors as: behaviour, production, pollution and infrastructure. It becomes clear that, in the view of scientists, the decisive role in the development of the bioeconomy resulting from the use of bio resources in the higher value-added production is for technologies. These results are used to build a framework for a system dynamics model that can be used for modelling bioeconomy development scenarios in the future.

An econometric analysis of the factors affecting consumers' bread waste and consumption behaviour: a case study of Isparta province, Turkey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deniz Sarica ◽  
Vecdi Demircan ◽  
Aybike Erturk ◽  
Nilay Arslantas
Keyword(s):  
Driving Forces ◽  
Econometric Analysis ◽  
The Novel ◽  
Monthly Income ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Consumption Behaviour ◽  
Underlying Causes

PurposeThe purpose of the research is to identify the various factors affecting bread wastage and bread consumption of consumers in Isparta, Turkey.Design/methodology/approachThis study uses the categorical regression (CATREG) model to estimate the driving forces of bread waste and consumption. The study concentrates on data obtained from 384 respondents speaking for the same number of households placed in the province of Isparta in Turkey.FindingsThe results indicate that both models are statistically significant at the 1% level. Parents' profession, storage method, type of bread consumed, daily bread expenditure, monthly income and the idea of “bread is cheap” are the most important variables affecting bread wastage. Regarding bread consumption, parents' profession, fathers' education level, monthly income, inadequate control in bakeries, household size and the idea of “bread makes people fat” are found to play significant roles.Practical implicationsThe results could be helpful to develop influential policies on healthy eating and aiming plans to reduce bread consumption to healthy levels and prevent bread waste.Social implicationsThis research contributes to knowledge regarding the underlying causes of the bread consumption and wastage of Turkish consumers in the light of the data analysis for Isparta province.Originality/valueThis paper contains unique and original understandings concerning bread consumption and wastage attitudes and determinants for consumers from Isparta, Turkey. The novel findings of this research have conduced to a better understanding of the key factors that affect bread consumption and waste. The paper also applies an econometric analysis using a CATREG model to analyse the factors influencing consumers' bread waste and consumption behaviour in Isparta province, Turkey.

Applying fuzzy LinPreRa cognitive map to evaluate strategic alliance partnerships for outlying island duty-free shop

2019 ◽  
Vol 31 (4) ◽  
pp. 730-758 ◽  
Author(s):  
Tsuen-Ho Hsu ◽  
Jia-Wei Tang
Keyword(s):  
Strategic Alliance ◽  
Preference Relation ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Key Factors ◽  
Outlying Island ◽  
Content Type ◽  
Factors Affecting ◽  
Managerial Strategies

Purpose The purpose of this paper is to apply a fuzzy LinPreRa cognitive map to evaluate the interaction and importance of factors affecting the development of strategic alliance partnerships between the outlying island duty-free shops and existing collaboration firms in duty-free shops. Meanwhile, the key factors should be considered in establishing strategic alliance partnerships while analyzing and comparing the perspectives of owners for outlying island duty-free shop and partner vendors of collaborating firms along with differences of influencing key factors on partnership quality. Design/methodology/approach This study incorporates a fuzzy linguistic preference relation analytical network process (fuzzy LinPreRa ANP) in the fuzzy cognitive map (FCM) method to formulate a fuzzy LinPreRa cognitive map to evaluate the interactions and importance of key factors and the conditions of interactive impacts during the establishment of strategic alliance partnerships. The authors use the outlying island duty-free shops in Taiwan as the empirical subject to illustrate how the fuzzy LinPreRa cognitive map is applied. In-depth, interviews and questionnaire surveys are conducted to collect and evaluate respondents concerning key factors affecting strategic alliance partnerships establishment. Findings The following three findings based on the results of empirical analysis: first, the administrative behavioral patterns of managers for strategic alliance partnerships encompass shared values and goal coherence, while the associative statements are located on the first layer of fuzzy LinPreRa cognitive map core associations, which illustrates that businesses attach great importance to conceptual ideas. Second, integrity and reputations of both parties are the governing mechanism of strategic alliance partnerships, influencing mutual reputation. Third, the relationship of strategic alliance partnerships refers to the profit opportunities of both parties and their ability to respond to the market, including future development, regional indicators, marketing capabilities, brand multiplicity and customer retention. However, it can be inferred that such associative factors are located in the outer layer or belong to noncore associations, which means that both parties’ abilities to respond to market reactions are weakened. Practical implications This study provides valuable relationship managerial strategies to maintain long-term partnerships for outlying island duty-free shops and their alliance collaborating firms including strengthened relationships of both parties’ managers to achieve common values and consistent objectives; improved beneficial value of both parties in strategic alliance partnerships; continued close communications to enhance the quality of strategic alliance partnerships; and establishment of personnel training mechanisms and strict formulation of management rules for strategic alliance partnerships. Originality/value The main valuable contributions are included the fuzzy LinPreRa cognitive map by combining two different decision methods including FCM and fuzzy LinPreRa ANP is proposed to help decision makers to improve the evaluation quality and calculation efficiency for critical elements’ interaction and importance; the fuzzy LinPreRa cognitive map can clarify considering significant factors when maintaining strategic alliance partnerships and further provide valuable relationship managerial strategies to maintain long-term relationships for duty-free shop owners and their alliance collaborating firms.

A causal model of the declaration intention of banks for suspected money-laundering transactions based on organizational commitment perspective

2020 ◽  
Vol 23 (2) ◽  
pp. 403-425
Author(s):  
Te-En Chan ◽  
Ya-Hui Chan ◽  
Shu-Ping Lin
Keyword(s):  
Organizational Commitment ◽  
Money Laundering ◽  
Regulatory Focus ◽  
Causal Model ◽  
Role Stress ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Suspicious Transaction ◽  
Five Factors

Purpose Anti-money laundering has attracted much global attention, driving banks to invest in the establishment of suspicious transaction report mechanisms for the declaration of suspicious transactions. However, very few studies discuss how to influence bank employees to proactively declare suspicious transactions. Therefore, the purpose of this study is to, based on an organizational commitment perspective, establish a causal model that can assist banks to identify key factors affecting the intention to declare suspicious transactions. Design/methodology/approach This study first summarized five factors – regulatory focus, organization climate, situational constraints, personality traits and role stress – and their composition constructs as the basis for measurements. An interview-based survey of nine Taiwanese banks was conducted. Then, this study adopted the decision-making trial and evaluation laboratory method to analyse the interplay between the five factors to identify the causal model and to explore the differences in the effects of the key factors, arising from the different organizational and job patterns, on the intention to declare suspicious transactions. Findings The results show that regulatory focus and organizational climate are the most important causal factors affecting employees’ intention to declare suspicious transactions, whereas role stress and personality traits are the most influenced effect factors. In addition, this study also confirmed that under different organizational and job patterns, the understanding of employees will change. Originality/value This paper provides insight into the interplay between the five factors based on an organizational commitment perspective. The findings can assist banks in managing and monitoring the implementation of the suspicious transaction report mechanism.

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