Implementing Open Innovation Using Quality Management Systems: The Role of Organizational Commitment and Customer Loyalty

Krajcsák, Zoltán

doi:10.3390/joitmc5040090

Cited by 21 publications

(18 citation statements)

References 34 publications

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“…The study results were that customer open innovation (i.e., rapid transaction, virtual technology, sufficient ATM booths, one-stop service, security, online transaction, globalization facilities) in the line of the SERVQUAL model had a significant impact on customer loyalty. Additionally, if organizations initially make a total quality control framework to adapt to the SERVQUAL model, a decent methodology for the execution of customer open innovation can be accomplished [57]. It creates new products and services based on the market demand that motivates evidence-based entrepreneurial innovation.…”

Section: Discussionmentioning

confidence: 99%

Exploring the Relationship between Customer Loyalty and Financial Performance of Banks: Customer Open Innovation Perspective

Rashid

Nurunnabi

Rahman

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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In the age of technology, continuous innovation is the ultimate motto of the financial sector to attract customers. Firms in the financial sector must be innovative in terms of service quality and operational performance to obtain customer loyalty and gain financial stability. A dearth of studies on customer loyalty and financial performance of Islamic Banks motivated the authors to examine the relationship between customer loyalty and financial performance. The study also explores whether the service qualities have any impact on customer loyalty. The study uses both primary and secondary data to conclude the research objectives. A survey of 356 questionnaires was carried out among the customers of the selected Islamic banks of Bangladesh to gather information regarding customer service quality and customer loyalty, while financial performance data were attained from the annual reports. Moreover, the study follows the SERVQUAL model’s five dimensions (tangibles, empathy, assurance, reliability, and responsiveness) to determine the service quality of Bangladeshi Islamic Banks. Rigorous statistical techniques, including exploratory factor analysis, reliability testing, and regression analysis were used to investigate the hypothesis. The study empirically documents a positively significant impact of service quality (tangibles, empathy, reliability, and responsiveness) on customer loyalty, while assurance shows an insignificant relationship. Furthermore, the study does not find any significant relationship between customer loyalty and the financial performance of Bangladeshi Islamic Banks. The findings of the study profoundly denote that the financial performance of Bangladeshi Islamic Banks mostly depends on many other financial and non-financial factors, rather than customer loyalty.

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Section: Discussionmentioning

confidence: 99%

Exploring the Relationship between Customer Loyalty and Financial Performance of Banks: Customer Open Innovation Perspective

Rashid

Nurunnabi

Rahman

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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“…In addition, through the selection of criteria for the number of predicted patients and the development of asthma risk indexes, early notification systems based on the atmospheric environment for chronic patients will contribute to the increase in national health and socioeconomic productivity. It is also expected that the proposed model will be highly applicable to all engaged in disease analysis in general, as it can be used to predict the number of patients with other diseases, and the prediction range can be expanded to all disease groups such that the data-and-model-based alarming could provide a good solution toward coping with current sustainability and open innovation perspective [71].…”

Section: Discussionmentioning

confidence: 99%

Hybrid Deep Learning Algorithm with Open Innovation Perspective: A Prediction Model of Asthmatic Occurrence

et al. 2020

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Due to recent advancements in industrialization, climate change and overpopulation, air pollution has become an issue of global concern and air quality is being highlighted as a social issue. Public interest and concern over respiratory health are increasing in terms of a high reliability of a healthy life or the social sustainability of human beings. Air pollution can have various adverse or deleterious effects on human health. Respiratory diseases such as asthma, the subject of this study, are especially regarded as ‘directly affected’ by air pollution. Since such pollution is derived from the combined effects of atmospheric pollutants and meteorological environmental factors, and it is not easy to estimate its influence on feasible respiratory diseases in various atmospheric environments. Previous studies have used clinical and cohort data based on relatively a small number of samples to determine how atmospheric pollutants affect diseases such as asthma. This has significant limitations in that each sample of the collections is likely to produce inconsistent results and it is difficult to attempt the experiments and studies other than by those in the medical profession. This study mainly focuses on predicting the actual asthmatic occurrence while utilizing and analyzing the data on both the atmospheric and meteorological environment officially released by the government. We used one of the advanced analytic models, often referred to as the vector autoregressive model (VAR), which traditionally has an advantage in multivariate time-series analysis to verify that each variable has a significant causal effect on the asthmatic occurrence. Next, the VAR model was applied to a deep learning algorithm to find a prediction model optimized for the prediction of asthmatic occurrence. The average error rate of the hybrid deep neural network (DNN) model was numerically verified to be about 8.17%, indicating better performance than other time-series algorithms. The proposed model can help streamline the national health and medical insurance system and health budget management in South Korea much more effectively. It can also provide efficiency in the deployment and management of the supply and demand of medical personnel in hospitals. In addition, it can contribute to the promotion of national health, enabling advance alerts of the risk of outbreaks by the atmospheric environment for chronic asthma patients. Furthermore, the theoretical methodologies, experimental results and implications of this study will be able to contribute to our current issues of global change and development in that the meteorological and environmental data-driven, deep-learning prediction model proposed hereby would put forward a macroscopic directionality which leads to sustainable public health and sustainability science.

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“…Meanwhile, commitment is the willingness of employees to be loyal to their responsibilities (Djastuti et al, 2019; Krajcsák, 2019). Affective commitment promotes changes in employees’ attitudes and behavior to improve performance (Kharismasyah, 2019; Kundi et al, 2020; Pahlawi & Fatonah, 2020; Tahar & Sofyani, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Islamic Work Ethics, Affective Commitment, and Employee’s Performance in Family Business: Testing Their Relationships

Udin

Dananjoyo

Shaikh³

et al. 2022

Sage Open

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A family business is usually managed and run by family members to form and pursue a business vision that will ensure continuity across generations. Subsequently, this study aims to scrutinize and inspect the effect of Islamic work ethics on affective commitment and employee performance. Out of 273 questionnaires that were disseminated to employees of family businesses in Pati, Batang, and Demak districts of Central Java, Indonesia, 147 were filled out and completed questionnaires, reflecting a response rate of 53.8%. Based on the results from the structural equation modeling from AMOS 21, Islamic work ethics were confirmed to be positively and significantly associated with affective commitment and employee performance. The affective commitment was also positively and significantly related to employee performance. Consequently, this study will contribute to expanding the literature on the association between Islamic work ethics, affective commitment, and employee performance in Indonesian family businesses.

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Implementing Open Innovation Using Quality Management Systems: The Role of Organizational Commitment and Customer Loyalty

Cited by 21 publications

References 34 publications

Exploring the Relationship between Customer Loyalty and Financial Performance of Banks: Customer Open Innovation Perspective

Exploring the Relationship between Customer Loyalty and Financial Performance of Banks: Customer Open Innovation Perspective

Hybrid Deep Learning Algorithm with Open Innovation Perspective: A Prediction Model of Asthmatic Occurrence

Islamic Work Ethics, Affective Commitment, and Employee’s Performance in Family Business: Testing Their Relationships

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