Teresa L. Ju, Shu‐Hui Chen, Chia‐Ying Li and Tien‐Shiang Lee
Based on theories of organizational learning and strategic considerations, this study aims to develop a strategic contingency model for technology alliance and identify how…
Abstract
Purpose
Based on theories of organizational learning and strategic considerations, this study aims to develop a strategic contingency model for technology alliance and identify how alliance‐specific factors, strategic factors, and organizational capability factors influence firms to acquire competencies and competitive advantages through technology alliance.
Design/methodology/approach
A six‐page, 94‐item survey questionnaire was developed and mailed to top‐level managers of the semiconductor firms in Taiwan. A total of 63 valid responses were received.
Findings
The study results indicate that firms with higher absorption orientation, higher risk reduction orientation, higher R&D scale economy orientation, and higher top management team experiences tend to perform better in acquiring competitive advantages. In addition, the strategic fit between strategic factors, organizational capability factors and technology alliance choice could lead firms to better competitive advantage.
Research limitations/implications
Although the results of this study are fruitful, several suggestions could be made for academicians and business practitioners. First, the respondent rate of this study is low and could be improved. Second, in addition to the strategic contingency model as developed in this study, more research factors could be further investigated. Third, more case studies could be conducted to reconfirm the results of this study.
Originality/value
The major contribution of this study is to investigate what critical factors would influence the choice of a technology alliance model, and what effects the influencing factors have on the relationship between a technology alliance model and the intended competency development. The results of this study provide very important references for academicians and practitioners to investigate the effectiveness of technology alliance.
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Hsin Hsin Chang, Yao-Chuan Tsai, Shu-Hui Chen, Guei-Hua Huang and Ya Hui Tseng
This purpose of this study is to apply social exchange theory (SET) to explain how social exchange behaviors, such as the exchange of knowledge, information and respect between…
Abstract
Purpose
This purpose of this study is to apply social exchange theory (SET) to explain how social exchange behaviors, such as the exchange of knowledge, information and respect between firms, would increase the likelihood of certification implementation and strengthen the relationships among partners. The main purposes of this study are to examine the significant connections between partner interactions and long-term orientation and to examine the links among long-term orientation, certifications and relationship quality.
Design/methodology/approach
To test the research hypotheses, structural equation modeling was conducted to analyze the data collected from 136 respondents who are top managers of manufacturing enterprises in Taiwan National Science Park.
Findings
Many enterprises in Taiwan regard conflict as a method to express more detailed information about collaboration in business and see conflict as a minus in making the quality of partnership healthier than before. It was affirmed that owning international certifications has an impact on long-term collaborative partnership. Conflicts within a partnership do not completely have a negative influence on relationship quality. Because enterprises want to keep stable partnerships and get long-term competitive advantages, they should continue creating smooth and efficient trading behaviors and should also consider relationship quality as an important factor with regard to their investment in some relationship-specific assets.
Research limitations/implications
This study was intended to explore the connection between conflict and relationship quality; however, this relation suggested that conflict may be a negative influence but without any significant proof of the connection. Therefore, future researchers could examine this relation again in the context of Taiwanese enterprises.
Practical implications
This study had some implications for enterprises in Taiwan, especially in regard to maintaining a long-term partnership and deciding whether to acquire a specific certification. When firms decide to invest in a relationship-specific asset, they should consider the interaction with the partners and the quality of the partnership. It is suggested that firms should evaluate not only the immediate benefits and drawbacks but also the implications with regard to partner relationships. Meeting the requirements of partners is thus an effective approach to gain trust and commitment.
Social implications
As the interactions with partners are executed progressively more smoothly, the relationship quality will become increasingly better. The possibility of having a long-term collaborative relationship becomes higher as the relationship quality improves. Therefore, as the relationship duration becomes increasingly longer, the cost of having an international certification will offer a return on the investment or even result in a profit.
Originality/value
A good relationship quality will lead to specific investments from partners, such as the one involving the implementation of specific certifications. The enterprises in Taiwan would prefer to develop a long-term partnership when their demands for a specific investment could be fulfilled. Consequently, enterprises can use the degree of relationship quality to assess the cost and benefits of implementing a certification and can, furthermore help in making the decision.
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Karen C. Su, Chung-Bow Lee, Shu-Hui Lin, I-Chien Liu and Hong-Chi Chen
Cyber risk refers to risk affecting information and technology assets of a corporation or government institution. As cyber risk management become important, insurance is one…
Abstract
Cyber risk refers to risk affecting information and technology assets of a corporation or government institution. As cyber risk management become important, insurance is one possible solution. However, lack of data and severe information asymmetries increase the difficulties in pricing-related insurance products. In this chapter, we discuss first-party insurance that indemnifies the loss when the insured encounters virus attack and provide pricing model for the policy using copula methodology. Simulation results show that model risk may exist in the distribution of server downtime hours and is minor in the distribution of incident frequency and number of personal computers (PCs) infected.
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Pingping Xiong, Jun Yang, Jinyi Wei and Hui Shu
In many instances, the data exhibits periodic and trend characteristics. However, indices like the Digital Economy Development Index (DEDI), which pertains to science, technology…
Abstract
Purpose
In many instances, the data exhibits periodic and trend characteristics. However, indices like the Digital Economy Development Index (DEDI), which pertains to science, technology, policy and economy, may occasionally display erratic behaviors due to external influences. Thus, to address the unique attributes of the digital economy, this study integrates the principle of information prioritization with nonlinear processing techniques to accurately forecast rapid and anomalous data.
Design/methodology/approach
The proposed method utilizes the new information priority GM(1,1) model alongside an optimized BP neural network model achieved through the gradient descent technique (GD-BP). Initially, the provincial Digital Economic Development Index (DEDI) is derived using the entropy weight approach. Subsequently, the original GM(1,1) time response equation undergoes alteration of the initial value, and the time parameter is fine-tuned using Particle Swarm Optimization (PSO). Next, the GD-BP model addresses the residual error. Ultimately, the prediction outcome of the grey combination forecasting model (GCFM) is derived by merging the findings from both the NIPGM(1,1) model and the GD-BP approach.
Findings
Using the DEDI of Jiangsu Province as a case study, researchers demonstrate the effectiveness of the grey combination forecasting model. This model achieves a mean absolute percentage error of 0.33%, outperforming other forecasting methods.
Research limitations/implications
First of all, due to the limited data access, it is impossible to obtain a more comprehensive dataset related to the DEDI of Jiangsu Province. Secondly, according to the test results of the GCFM from 2011 to 2020 and the forecasting results from 2021 to 2023, it can be seen that the results of the GCFM are consistent with the actual development situation, but it cannot guarantee the correctness of the long-term forecasting, so the combination forecasting model is only suitable for short-term forecasting.
Originality/value
This article proposes a grey combination prediction model based on the principles of new information priority and nonlinear processing.
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Carolina Alcantar-Nieblas, Leonardo David Glasserman-Morales, Ernesto Armando Pacheco-Velazquez and Sergio Augusto Ramírez Echeverri
The present study examined the psychometric properties of the EGame- flow scale in a Mexican sample, presenting evidence of construct validity (exploratory factor analysis and…
Abstract
Purpose
The present study examined the psychometric properties of the EGame- flow scale in a Mexican sample, presenting evidence of construct validity (exploratory factor analysis and confirmatory factor analysis), reliability (Cronbach’s alpha and McDonald’s omega) and discriminant validity (mean variance extracted).
Design/methodology/approach
Participants: Of the 255 Mexican participants in the non-probabilistic sample who had previously interacted with the LOST logistics simulator, 166 (65%) were men and 89 (35%) were women; their ages ranged from 22 to 45. The statistical packages SPSS 25, JASP 0.16 and AMOS 23 facilitated the corresponding analyses. First, we calculated the means and standard deviations of the scale items. Next, we performed an exploratory factor analysis to examine the measurement model’s internal structure and a confirmatory factor analysis to confirm the structure proposed in the exploratory factor analysis. To analyze the internal structure of the measurement model so that the estimates were not affected by multivariate normality problems, we utilized the AMOS bootstrap method (with 500 repetitions, 95% CI), the maximum likelihood (MV) estimation method, and the fit indices: X2, p (chi-square and associated likelihood), Tucker–Lewis index (TLI), standardized statistical mean square residual (SRMR), comparative fit index (CFI) and root mean Square error approximation (RMSEA) with its confidence interval, the values of X2 with p < 0.001; TLI, CFI, AGFI = 0.95; RMSEA and SRMR = 0.08 (Byrne, 2016). Finally, we estimated the reliability of the measurement model with Cronbach’s alpha (a), McDonald’s omega (ω) coefficient and the mean variance extracted (VME).
Findings
An exploratory factor analysis with the MV method and obliminal rotation showed a good fit of the data to the model, which aligns with the significance of the Barlette sphericity test (X2 = 8443.2, p < 0.000) and the Kaiser–Meyer-Olkin (KMO) value of 0.94. The indices confirmed the fit of the data to the six-dimensional model for measuring the users' level of enjoyment of online games (X2 = 678.2 gl = 411, p = 0.000; SRMR = 0.05; TLI = 0.95, CFI = 0.95 and RMSEA = 0.05, IC 90% [0.04, 0.05]).
Research limitations/implications
The self-reporting format of the scale increases the social desirability of the responses, but the sample only collects information from a specific geographic location, so these findings cannot extrapolate to populations with very marked cultural differences. Finally, the study did not measure other validity evidence, such as predictive and concurrent validity, which should be considered in future studies.
Practical implications
From a practical perspective, the study offers a measurement scale with fewer items and robust psychometric evidence that ensures the fit of the data to the EGame-flow measurement scale. Further research must continue to learn about the behavior of the EGame-flow scale in different samples that new evidence of psychometric properties continues to appear and that other factors associated with the users' gaming enjoyment experience are analyzed.
Originality/value
The value and originality of the study lie in the type of evidence of psychometric properties that the instrument has and particularly in the style of sample in which the study is carried out, in this case, in the context of Mexico, where there are not enough instruments that measure the flow experience of users.
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Wee Shu Hui, Radiah Othman, Normah Hj Omar, Rashidah Abdul Rahman and Nurul Husna Haron
This study was undertaken with the aim of surveying the perception of the two main stakeholders in procurement system; the contractors and the procurement officers on issues such…
Abstract
Purpose
This study was undertaken with the aim of surveying the perception of the two main stakeholders in procurement system; the contractors and the procurement officers on issues such as accountability, transparency, corruption, integrity and cronyism pertaining to the public procurement system in Malaysia.
Design/methodology/approach
Interviews were conducted over a nine‐month period in 2007 to gauge the perception of the procurement officers and contractors on procurement issues in Malaysia. The interview data were then transcribed and grouped according to six main themes; transparency, procurement policies and procedures and its implementation, personnel involved in the procurement system, estimation/budget/pricing, professionalism and ethics and timeliness.
Findings
One of the common complaints made by the contractors was prevalence of interference from outside parties and cronyism, which affects the awarding of contracts. The procurement officers were blamed for malpractice and non‐compliance to the policies and procedures of the procurement system.
Practical implications
The paper deals with sensitive issues and takes several months to successfully gather respondents who willing to give feedback on their experience with the procurement system. The data are first hand information and are carefully transcribed and categorized into categories to help better understanding of the issues raised by the respondents.
Originality/value
The paper deals with sensitive issues and takes several months to successfully gather respondents who willing to give feedback on their experience with the procurement system. The data are first hand information and are carefully transcribed and categorized into categories to help better understanding of the issues raised by the respondents and the private sector.
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Ezlika M. Ghazali, Hussam Al Halbusi, Fadi Abdel Muniem Abdel Fattah, Md. Uzir Hossain Uzir, Dilip S. Mutum and Foon-Lip Tan
The goal of this study is to examine the factors (e.g. enjoyment, skills, challenge, telepresence and flow) that influence players’ purchase intention toward Dota 2 virtual…
Abstract
Purpose
The goal of this study is to examine the factors (e.g. enjoyment, skills, challenge, telepresence and flow) that influence players’ purchase intention toward Dota 2 virtual in-game as well as examine the effect of flow toward purchase intention of Dota 2 through the critical mechanism (i.e. continuous intention). Notably, the analysis of the moderating role of enjoyment of buying on the relation of (a) flow and purchase intention of Dota 2 in-game, as well as (b) between flow continuous intention and finally (c) between continuous intention purchase intention of Dota 2.
Design/methodology/approach
The data were gained from 331 users using Google Forms and posted to respondents on social media platforms and forums such as Facebook and Reddit, as these websites have the closest reach to gamers.
Findings
The study revealed that enjoyment, skill, challenge and telepresence have a positive effect on flow. Also, the flow was significantly related to purchase intention. The continuous intention has significantly mediated the relationship between flow and purchase intention. Importantly, this study found that the moderating role of buying enjoyment increases the relationship between flow and purchase intention (H7a) and between continuous intention and purchase intention (H7c). In contrast, the moderating role of buying enjoyment on the relationship between flow and continuous intention (H7b) was not supported. Hence, this study sheds a new light on the notable Dota 2 in-game and continuous intention purchase intention of the users.
Originality/value
In response, this study's main research question can be highlighted on testing how enjoyment, skills, challenge, telepresence, in-game virtual items influence purchasing intention when the enjoyment of buying moderates the proposed relationship? Therefore, this study aims to examine the significant elements like enjoyment, skills, challenge telepresence toward flow, and subsequently, the effect of flow toward purchase intention of Dota 2 in-game through continuous intention as a key mechanism which is urgently needed to minimize the gap in-game virtual items literature. Significantly, this study also intends to explore the contingent role of enjoyment of buying on the relation of flow and purchase intention of Dota-2 in-game, as well as between flow and continuous intention and finally between continuous intention and purchase intention.
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Nur Faiza Ishak and Vinesh Thiruchelvam
The purpose of this study is to discuss policy review in the interest of sustainable innovations in Malaysia’s public procurement. This study also offers the overall relationship…
Abstract
Purpose
The purpose of this study is to discuss policy review in the interest of sustainable innovations in Malaysia’s public procurement. This study also offers the overall relationship between existing policies related to sustainable innovations in public procurement and the coherences towards the four dimensions of sustainable innovations.
Design/methodology/approach
This study outlines the current policies in Malaysia which are related to sustainable innovation initiatives and explores the cohesiveness that appears disconnected and understood separately. Policy content analysis is conducted on the current policies related to sustainable innovations in the context of Malaysia’s public procurement.
Findings
This study observed that the current policies related to sustainable innovations in public procurement are actually interconnected with each other through a hierarchical framework. This study also demonstrates that the 12th Malaysia Plan has comprehensively encompassed every aspect of the environment, social, economic and innovation to contribute to one primary goal – green economic growth.
Research limitations/implications
The proposed policy framework is expected to be beneficial for the administrator executive among the civil servant to connect the independent policies and, at the same time, contribute to the overall goal of green economic growth. Through a broad policy structure too, this study helps the industry player to recognize their potential in any area related to sustainable innovation.
Originality/value
The policy framework illustrated is new to the literature, especially in Malaysia’s context. The compilation of current policy grounded by the 12th Malaysia Plan has not been presented in any publications.
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Arun Kumar Tarofder, Govindan Marthandan, Avvari V. Mohan and Prashantini Tarofder
The purpose of this paper is to investigate empirically the critical factors for the diffusion of web technologies in supply chain management (SCM) functions, based on the…
Abstract
Purpose
The purpose of this paper is to investigate empirically the critical factors for the diffusion of web technologies in supply chain management (SCM) functions, based on the technology‐organizational‐environment model, and to identify the benefits resulting from diffusion.
Design/methodology/approach
Data were collected, via an internet survey, from 251 respondents, ranging from middle‐level to top‐level managers, from firms which currently utilize web technologies for their supply chain activities. Structural equation modelling was employed for five factors: relative advantage; competitive pressure; complexity; trialability; and top management support, which have been hypothesized to affect the diffusion of web technologies in SCM functions.
Findings
The results suggest that all the factors except trialability are significant predictors of web technologies' diffusion in supply chain functions. The results show also that by diffusing web technologies, organizations can enhance their supply chain activities.
Research limitations/implications
The survey was conducted in a Malaysian context, using a limited set of variables, thus limiting the generalizability of the findings.
Practical implications
This study provides a greater understanding of managers' perception of web technology diffusion in their organizational SCM functions, and benefits realizing from diffusion of web technology, such as operational efficiency.
Originality/value
Those interested in adopting web technologies in their supply chain activities may find these results helpful in guiding their efforts.