{"title":"EFFECTIVE COMMUNICATION AND CONSTRUCTION RISK: ROLE OF GOVERNMENT ACTS, LAWS AND POLICIES","authors":"","doi":"10.47263/jasem.6(2)03","DOIUrl":"https://doi.org/10.47263/jasem.6(2)03","url":null,"abstract":"","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49009310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"THE IMPACTS OF STRESS, PROJECT-BASED LEARNING ACTIVITIES, AND MOTIVATION ON STUDENTS’ LEARNING","authors":"","doi":"10.47263//jasem.6(2)04","DOIUrl":"https://doi.org/10.47263//jasem.6(2)04","url":null,"abstract":"","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45082303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TRANSLATION AND PSYCHOMETRIC VALIDATION OF SPIRITUALITY INDEX OF WELL-BEING","authors":"","doi":"10.47263/jasem.6(2)02","DOIUrl":"https://doi.org/10.47263/jasem.6(2)02","url":null,"abstract":"","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44187989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PERCEIVED ACADEMIC SERVICE QUALITY AND BEHAVIORAL INTENTIONS: THE INTERVENING ROLES OF BRAND IMAGE AND PERFORMANCE","authors":"","doi":"10.47263/jasem.6(2)01","DOIUrl":"https://doi.org/10.47263/jasem.6(2)01","url":null,"abstract":"","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49353137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"THE INFLUENCE OF CONSUMERS’ PATRONAGE BEHAVIOUR TOWARDS PETROL STATIONS: A MULTIGROUP ANALYSIS USING PLS-SEM","authors":"","doi":"10.47263//jasem.6(2)05","DOIUrl":"https://doi.org/10.47263//jasem.6(2)05","url":null,"abstract":"","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47359834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The process of new product launch success is crucial for the corporate success of a firm. The purpose of this research is to explore the critical role of knowledge management system in leveraging knowledge type to improve new product launch success within the context of leather gloves industry in Pakistan. Data were collected from 429 leather gloves firms in Sialkot Pakistan using quantitative survey questionnaire. The participants were 211 product managers of leather gloves firms in Sialkot Pakistan. This study adopts the partial Least Square Structural Equation Modeling (PLS-SEM) for the purpose of data analysis. As such, the results of the analysis revealed that knowledge management system, knowledge tacitness, and knowledge complexity, all have direct significant positive impact on new product launch success. Interestingly, knowledge management system was not found to moderate the relationship between knowledge type and new product launch success. This study is one of the few that investigated the moderating effect of knowledge management system on the relationship between knowledge type and new product launch success among product managers in the leather gloves industry. The results contribute extensive inputs beneficial for policymakers, the government of Pakistan, firm owners, product managers, as well as other stakeholders to formulate successful policies and practices.
{"title":"KNOWLEDGE TYPE AND NEW PRODUCT LAUNCH SUCCESS: THE MODERATING EFFECT OF KNOWLEDGE MANAGEMENT SYSTEM","authors":"","doi":"10.47263/jasem.6(1)03","DOIUrl":"https://doi.org/10.47263/jasem.6(1)03","url":null,"abstract":"The process of new product launch success is crucial for the corporate success of a firm. The purpose of this research is to explore the critical role of knowledge management system in leveraging knowledge type to improve new product launch success within the context of leather gloves industry in Pakistan. Data were collected from 429 leather gloves firms in Sialkot Pakistan using quantitative survey questionnaire. The participants were 211 product managers of leather gloves firms in Sialkot Pakistan. This study adopts the partial Least Square Structural Equation Modeling (PLS-SEM) for the purpose of data analysis. As such, the results of the analysis revealed that knowledge management system, knowledge tacitness, and knowledge complexity, all have direct significant positive impact on new product launch success. Interestingly, knowledge management system was not found to moderate the relationship between knowledge type and new product launch success. This study is one of the few that investigated the moderating effect of knowledge management system on the relationship between knowledge type and new product launch success among product managers in the leather gloves industry. The results contribute extensive inputs beneficial for policymakers, the government of Pakistan, firm owners, product managers, as well as other stakeholders to formulate successful policies and practices.","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45123538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study analyzed determinants of hotel room prices in the Philippines using the Structural Equation Modeling (SEM) and assessed how these price determinants affects the economic performance of hotels. Specifically, it aimed to describe hotel characteristics based on STR classification, determine key performance indicators (KPIs) of all Philippine markets, correlate hotel characteristics with hotel pricing and with key performance indicators (KPIs); and key performance indicators (KPIs) with hotel pricing. Lastly, a comprehensive structural equation modeling (SEM) was used to determine hotel industry price determinants. Using an aggregated and quantitative anonymize property level data STR provided, researchers selected 88 hotels active with STR. The study revealed that most hotels in the Philippines are economy in terms of class; chain-owned in terms of hotel operation; located in urban areas; and with 150 – 299 rooms in terms of size. Hotel price was significantly predicted by all hotel characteristics aside from operation. Pricing was also significantly predicted by hotel key performance indicators (KPIs)—average daily rate (ADR), revenue per available room (RevPAR), and occupancy. The structural equation modeling (SEM) revealed that key performance indicators (KPIs) such as average daily rate (ADR), revenue per available room (RevPAR), and occupancy were main determinants of hotel pricing. Further, data showed that hotel characteristics such as operation, class, location, and size code mediated the influence of key performance indicators (KPIs) on hotel pricing. Results of this study contribute to widening existing studies of hotel room pricing which hospitality executives may use as reference to come up with appropriate pricing strategies
{"title":"THE DETERMINANTS OF HOTEL ROOM PRICE IN PHILIPPINES: A STRUCTURAL EQUATION MODELING ANALYSIS","authors":"","doi":"10.47263/jasem.6(1)02","DOIUrl":"https://doi.org/10.47263/jasem.6(1)02","url":null,"abstract":"This study analyzed determinants of hotel room prices in the Philippines using the Structural Equation Modeling (SEM) and assessed how these price determinants affects the economic performance of hotels. Specifically, it aimed to describe hotel characteristics based on STR classification, determine key performance indicators (KPIs) of all Philippine markets, correlate hotel characteristics with hotel pricing and with key performance indicators (KPIs); and key performance indicators (KPIs) with hotel pricing. Lastly, a comprehensive structural equation modeling (SEM) was used to determine hotel industry price determinants. Using an aggregated and quantitative anonymize property level data STR provided, researchers selected 88 hotels active with STR. The study revealed that most hotels in the Philippines are economy in terms of class; chain-owned in terms of hotel operation; located in urban areas; and with 150 – 299 rooms in terms of size. Hotel price was significantly predicted by all hotel characteristics aside from operation. Pricing was also significantly predicted by hotel key performance indicators (KPIs)—average daily rate (ADR), revenue per available room (RevPAR), and occupancy. The structural equation modeling (SEM) revealed that key performance indicators (KPIs) such as average daily rate (ADR), revenue per available room (RevPAR), and occupancy were main determinants of hotel pricing. Further, data showed that hotel characteristics such as operation, class, location, and size code mediated the influence of key performance indicators (KPIs) on hotel pricing. Results of this study contribute to widening existing studies of hotel room pricing which hospitality executives may use as reference to come up with appropriate pricing strategies","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46932150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the increasing popularity of freely available open-source packages being widely used in academia and corporates, this study explores the implementation of a covariance-based structural equation modelling (CB-SEM) method using R and Python packages. The research model considered for the study is the European Consumer Satisfaction Index (ECSI) which has been frequently used in customer satisfaction and customer loyalty related studies. Moreover, survey-based data gathered from the mobile phone industry as cited in previous research has been used. By simulating different scenarios, namely, missing data, non-normality, and single indicator latent variables, the paper reviews and compares the functionalities provided in ‘lavaan’, an R package, and ‘semopy’, a Python package. This paper provides suggestions to handle these scenarios while implementing the models. It establishes that while both ‘semopy’ and ‘lavaan’ provide comparable results for the measurement model and the structural model, there are a few practical considerations that need attention while using these open-source packages, especially in the case of datasets with missing data and when using models having single indicator latent variables. The developers and researchers using these packages will greatly benefit from this paper and it will enable them to be selective in identifying the right methods and functions for their specific use cases. This study fills the gap in the literature by studying the implementation of CB-SEM using the recently released Python package ‘semopy’ and comparing the results with an established R package ‘lavaan’.
{"title":"CB-SEM IMPLEMENTATION IN R AND PYTHON: A REVIEW AND COMPARATIVE STUDY","authors":"","doi":"10.47263/jasem.6(1)01","DOIUrl":"https://doi.org/10.47263/jasem.6(1)01","url":null,"abstract":"Given the increasing popularity of freely available open-source packages being widely used in academia and corporates, this study explores the implementation of a covariance-based structural equation modelling (CB-SEM) method using R and Python packages. The research model considered for the study is the European Consumer Satisfaction Index (ECSI) which has been frequently used in customer satisfaction and customer loyalty related studies. Moreover, survey-based data gathered from the mobile phone industry as cited in previous research has been used. By simulating different scenarios, namely, missing data, non-normality, and single indicator latent variables, the paper reviews and compares the functionalities provided in ‘lavaan’, an R package, and ‘semopy’, a Python package. This paper provides suggestions to handle these scenarios while implementing the models. It establishes that while both ‘semopy’ and ‘lavaan’ provide comparable results for the measurement model and the structural model, there are a few practical considerations that need attention while using these open-source packages, especially in the case of datasets with missing data and when using models having single indicator latent variables. The developers and researchers using these packages will greatly benefit from this paper and it will enable them to be selective in identifying the right methods and functions for their specific use cases. This study fills the gap in the literature by studying the implementation of CB-SEM using the recently released Python package ‘semopy’ and comparing the results with an established R package ‘lavaan’.","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41605725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital business model innovation (DBMI) is a new business model domain which is increasingly attracting interest in an attempt to resolve challenges to digital transformation. It is known as a crucial research field of business model. However, the empirical studies on SMEs focusing on digital business model innovation in a developing country are relatively scant. Previous studies have concentrated mostly on any two or three elements of DBMI. Thus, this research attempts to bridge the knowledge gap by focusing on all elements of DBMI to reveal valuable insights. Grounded in upper echelon and institutional theories, this study investigates the relationship between entrepreneurial leadership, government support with digital business model innovation (DBMI). Preliminary interviews were conducted with four members of top management from different SMEs in Malaysia to determine whether the literature and anecdotal evidence can reflect real-life business circumstances. The empirical data were collected from 132 Malaysian small and medium-sized enterprises (SMEs) using the purposive sampling technique. As predicted, the empirical findings show that entrepreneurial leadership and government support positively affect DBMI (value creation innovation, value proposition innovation, value delivery innovation, and value capture innovation). This research is novel as it the first study unravelling the pivotal role of entrepreneurial leadership and government support in promoting DBMI adoption to achieve superior performance in the digital sphere. It bridges the literature gaps on the driving factors of DBMI adoption. Present study contributes to the DBMI literature with the empirical evidence from SMEs. This study would complement prior findings on the role of entrepreneurial leadership and government support in business model innovation, e-business and e-commerce. The findings of the present study have various implications for SMEs and practitioners that plan to adopt DBMI in various industries. This model can be incorporated as a strategy by SMEs in both developing and developed countries to increase their competitiveness. Future studies could examine other factors that may contribute to DBMI and its associated outcomes in other contexts.
{"title":"DIGITAL BUSINESS MODEL INNOVATION IN SMEs: THE ROLES OF ENTREPRENEURIAL LEADERSHIP AND GOVERNMENT SUPPORT","authors":"","doi":"10.47263/jasem.6(1)04","DOIUrl":"https://doi.org/10.47263/jasem.6(1)04","url":null,"abstract":"Digital business model innovation (DBMI) is a new business model domain which is increasingly attracting interest in an attempt to resolve challenges to digital transformation. It is known as a crucial research field of business model. However, the empirical studies on SMEs focusing on digital business model innovation in a developing country are relatively scant. Previous studies have concentrated mostly on any two or three elements of DBMI. Thus, this research attempts to bridge the knowledge gap by focusing on all elements of DBMI to reveal valuable insights. Grounded in upper echelon and institutional theories, this study investigates the relationship between entrepreneurial leadership, government support with digital business model innovation (DBMI). Preliminary interviews were conducted with four members of top management from different SMEs in Malaysia to determine whether the literature and anecdotal evidence can reflect real-life business circumstances. The empirical data were collected from 132 Malaysian small and medium-sized enterprises (SMEs) using the purposive sampling technique. As predicted, the empirical findings show that entrepreneurial leadership and government support positively affect DBMI (value creation innovation, value proposition innovation, value delivery innovation, and value capture innovation). This research is novel as it the first study unravelling the pivotal role of entrepreneurial leadership and government support in promoting DBMI adoption to achieve superior performance in the digital sphere. It bridges the literature gaps on the driving factors of DBMI adoption. Present study contributes to the DBMI literature with the empirical evidence from SMEs. This study would complement prior findings on the role of entrepreneurial leadership and government support in business model innovation, e-business and e-commerce. The findings of the present study have various implications for SMEs and practitioners that plan to adopt DBMI in various industries. This model can be incorporated as a strategy by SMEs in both developing and developed countries to increase their competitiveness. Future studies could examine other factors that may contribute to DBMI and its associated outcomes in other contexts.","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46235182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The world is encountering various challenges and complexities. To many, successful operation in such an environment hinges upon being marketing oriented, which is also a challenge to many higher learning institutions (HLIs). This study intended to devise the best scale that can be used to measure and operationalize marketing orientation in HLIs contexts. A cross sectional survey design was adopted, and data were collected using a self-administered questionnaire from 739 respondents. Data were analysed by using Partial Least Square (PLS)-Structural Equation Modelling (SEM) with the assistance of SmartPLS 3.3.3. The analysis revealed the presence of necessary scale’s psychometric properties, hence confirming that Marketing Orientation Scale (MOS) is a relevant scale for utilization in the higher education context. This study recommends for HLIs to adopt MOS as an important stage in making them marketing-oriented. The adoption and use of MOS have the potentials of generating many benefits for successful operations of HLIs in the current era of many challenges.
{"title":"A MEASURE OF MARKETING ORIENTATION IN HIGHER LEARNING INSTITUTIONS: A SCALE DEVELOPMENT STUDY","authors":"","doi":"10.47263/jasem.6(1)05","DOIUrl":"https://doi.org/10.47263/jasem.6(1)05","url":null,"abstract":"The world is encountering various challenges and complexities. To many, successful operation in such an environment hinges upon being marketing oriented, which is also a challenge to many higher learning institutions (HLIs). This study intended to devise the best scale that can be used to measure and operationalize marketing orientation in HLIs contexts. A cross sectional survey design was adopted, and data were collected using a self-administered questionnaire from 739 respondents. Data were analysed by using Partial Least Square (PLS)-Structural Equation Modelling (SEM) with the assistance of SmartPLS 3.3.3. The analysis revealed the presence of necessary scale’s psychometric properties, hence confirming that Marketing Orientation Scale (MOS) is a relevant scale for utilization in the higher education context. This study recommends for HLIs to adopt MOS as an important stage in making them marketing-oriented. The adoption and use of MOS have the potentials of generating many benefits for successful operations of HLIs in the current era of many challenges.","PeriodicalId":33617,"journal":{"name":"Journal of Applied Structural Equation Modeling","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43974216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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