scholarly journals Understanding the Attitudes and Purpose for the Usage of Self-service Technologies (SSTs) at the Airports

2019 ◽  
Vol 8 (3) ◽  
pp. 7034-7039
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Web Based ◽  
Endogenous Variables ◽  
Managerial Implications ◽  
Self Service ◽  
Self Service Technology

This study tried to understand the intention of technology adoption for web-based self-service technology (SST) pertaining to the airline sector in India. A survey-based approach was employed to acquire 458 responses. These responses were obtained from passengers who were using the airline’s service. The passengers were from three international airports that are located in Chennai, Hyderabad, and Bangalore. The partial least square structural equation modeling technique was employed to investigate the hypothesis. To recognize the influences on web-based SST(endogenous variables), along with the concept of adoption purpose as per the air passengers’ perceptions, the initial qualitative study joined the resultant literature examination in correspondence with the interview with focus groups. The following are the exogenous factors applied in the study; apparent usefulness: apparent ease of usage, trustworthiness, perceived risk, supposed behavioral regulator, subjective standard, word-of-mouth reports, apparent playfulness, and approach and adaptation purpose. Results specify factors that suggestively affect the intention to employ SSTs. Theoretical as well as managerial implications are deliberated on.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Consumer Confusion in Mobile Application Buying

2014 ◽  
Vol 10 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Tathagata Ghosh ◽  
Venu Gopal Rao
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Need For Cognition ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Confusion ◽  
Managerial Implications ◽  
Research Findings

This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.

scholarly journals User Acceptance of Internet of Vehicles Services: Empirical Findings of Partial Least Square Structural Equation Modeling (PLS-SEM) and Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yikai Liang ◽  
Guijie Zhang ◽  
Feng Xu ◽  
Weijie Wang
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Trust Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Market ◽  
Initial Trust

Recently, IoV-based services and vehicles have come to the forefront as part of the growing market for the automobile industry. Since IoV-based services and vehicles were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the IoV-based services and vehicles market has appeared to hit a roadblock and remains at an early market stage. Therefore, research of the determinants leading to consumers’ intention to accept and purchase IoV-based services and vehicles is significant for either academics or practitioners. Drawing upon the extended unified theory of acceptance and use of technology acceptance model (UTAUT2), the perceived risk theory, and the initial trust model, we developed an integrated conceptual model and explored what and how various determinant antecedent conditions fit together on consumer intention to accept IoV-based services and vehicles. The proposed model and hypotheses were assessed by both symmetric (partial least square structural equation modeling, PLS-SEM) and asymmetric (fsQCA) approaches using online survey datasets with 362 Chinese consumers. The findings suggest that PLS-SEM and fsQCA are complementary analytical techniques providing comparable results. PLS-SEM results indicate that performance expectancy, price value, habit, and initial trust have significant effects on behavioral intention to accept IoV services. Despite other determinants, e.g., effort expectancy, social influence, facilitating conditions, hedonic motivation, and perceived risk, have no significant effect. FsQCA results reveal twelve different configurations of determinants resulting in a high level of behavioral intention to accept IoV services, and eight causal paths equifinally leading to the negation of behavioral intention to accept IoV services. These findings suggest that several conditions that were not significant in PLS-SEM are sufficient conditions when combined with other conditions. This study enriches relevant research studies on IoV-based services acceptance and provides relevant insights and marketing suggestions for incentivizing consumers to accept the IoV-based services.

scholarly journals PENGARUH KEPERCAYAAN DAN RISIKO TERPERSEPSI TERHADAP KEPUTUSAN PEMBELIAN DARING DENGAN HARGA TERPERSEPSI SEBAGAI VARIABEL PEMODERASI (STUDI KASUS PADA SHOPEE INDONESIA)

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Tisia Priskila
Keyword(s):  
Risk Perception ◽  
Perceived Risk ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Moderator Variable ◽  
Perceived Price ◽  
Negative Effect

This study aims to determine the effect of trust and risk perception on online purchasing decisions and the influence of price perception as a moderator variable on trust, risk perception, and online purchasing decisions. The analysis method used is PLS-SEM (Partial Least Square-Structural Equation Modeling) with a sample of 100 respondents. The results show that trust has a positive effect on online purchasing decisions and perceived risk has a negative effect on online purchasing decisions. Perceived price as a moderating variable weakens the influence of trust on online purchasing decisions but it does not have an influence on the relationship between risk perception and online buying decisions.<br />Keywords: trust, perceived risk, perceived price, purchase decision

scholarly journals THE EFFECT OF AMIL’S ISLAMIC CHARACTERISTICS ON THE QUALITY OF FINANCIAL REPORTING OF ZAKAT MANAGEMENT ORGANIZATIONS (ZMO): GOOD GOVERNANCE AS INTERVENING VARIABLE

2021 ◽  
Vol 16 (1) ◽  
pp. 15-31
Author(s):  
Abrar Nawas ◽  
Yuswar Zainal Basri ◽  
Tatik Mariyanti ◽  
Zulhelmy Zulhelmy
Keyword(s):  
Financial Reporting ◽  
Structural Equation ◽  
Good Governance ◽  
Professional Associations ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Managerial Implications ◽  
The Government

The objective of this research is to analyze the effect of Amil's Islamic Characteristics on Quality of Financial Reporting and Good Governance as an Intervening Variable in Zakat Management Organizations (ZMO). The research used the Structural Equation Modeling-Partial Least Square (SEM-PLS) method with SmartPLS software to analyze data from 204 samples of commissioners and administrators of Zakat Management Organization. The results show that the character of trustworthiness, professionalism, and good governance had a positive and significant effect on the quality of Financial Reporting. In contrast, Islamic religiosity has no impact on the quality of financial reporting. The results also show that Islamic religiosity, trustworthiness, and professionalism had a positive and significant effect on good governance. Good governance played a role in mediating the influence of trustworthiness on the quality of Financial Reporting. The research findings provide managerial implications for ZMO and the government to utilize Islamic religiosity and character of trustworthiness as qualitative standards in Amil recruitment. Furthermore, it allows them to create and set Amil’s professional competency standards, including the fields of accounting and management, and provide Amil professional certification as well as establish Amil Professional Associations.

scholarly journals User Engagement and Satisfaction: The Case of Web Digital Library

2018 ◽  
Vol 7 (4.15) ◽  
pp. 19
Author(s):  
Mohamad Noorman Masrek ◽  
Mohammad Hudzari Razali ◽  
Ishak Ramli ◽  
Trias Andromeda
Keyword(s):  
Digital Library ◽  
User Satisfaction ◽  
Structural Equation ◽  
Strong Predictor ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
User Engagement ◽  
Web Based ◽  
The Web

In the era of Internet, user engagement has become more significant and relevant due to the intensification of interaction between the user and web applications. Today, most of the computer-based information systems that are in use to support our day-to-day activities are deployed on the web-based platform. The quality and intensity of interaction between the user and these web-based applications are referred as user engagement. While studies on user engagement have been quite extensively reported in the literature, very few have attempted to examine its relationship with user satisfaction. To this effect, this study was conducted with the aim of filling this research gap. The study used survey as the research methodology and the web, digital library as the object of assessment. 299 respondents provided the research data that were analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM) approach. The results of the study showed that user engagement is a strong predictor of user satisfaction. The findings provide additional empirical evidence on the topic of user engagement.  

scholarly journals MANAGERIAL IMPLICATIONS OF THE RELATIONSHIP BETWEEN CUSTOMER CARE AND PURCHASE INTENTION IN ONLINE SHOPPING

2019 ◽  
Vol 7 (1) ◽  
pp. 514-526
Author(s):  
Adnan Veysel ERTEMEL ◽  
Mustafa Emre CİVELEK
Keyword(s):  
Web Sites ◽  
Purchase Intention ◽  
Structural Equation ◽  
Perceived Value ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Customer Care ◽  
Managerial Implications ◽  
Indirect Relationship

This paper studies customer care as an important factor that affects the performance of B2C e-commerce websites. A survey was conducted to 464 Turkish B2C website customers. Analysis method of this study is partial least square structural equation modeling (PLS-SEM). Specifically, customer care in B2C e-commerce web sites is found to have direct effect on perceived value and indirect effect on purchase intention via perceived value and brand loyalty. Besides relationship between customer care and purchase intention was found as insignificant. The most important contribution of this research is the unveiling of the indirect relationship between customer care and purchase intention. This study also offers some important manageral suggestions for B2C web sites.  

scholarly journals Bridging the Intention–Behavior Gap: Effect of Altruistic Motives on Developers’ Action towards Green Redevelopment of Industrial Brownfields

2021 ◽  
Vol 13 (2) ◽  
pp. 977
Author(s):  
Guangmin Zhang ◽  
Yang Zhang ◽  
Wei Tian ◽  
Huimin Li ◽  
Ping Guo ◽  
...  
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Influencing Factor ◽  
Explanatory Power ◽  
Partial Least Square ◽  
Least Square ◽  
Gap Effect ◽  
Equation Modeling ◽  
Driving Mechanism ◽  
Tpb Model

Green redevelopment (GR) is a promising strategy to deal with industrial brownfields, this sustainable initiation usually fails to be implemented practically in China. Thus, investigating the driving mechanism of developer’s GR behavior, as executors of renovation project, is quite essential. The study introduced formative constructs perceived risk (PR) and perceived cost (PC), integrated them with theory of planned behavior (TPB), and extended them by adding two altruistic motives, awareness of responsibility (AR) and awareness of consequence (AC), as moderation variables to explore the bridging role of altruistic motives in GR’s intention–behavior gap. Based on 156 developers-oriented field surveys, the study conducted data analysis through partial least square structural equation modeling. It interestingly showed that subjective norm could primarily affect developers’ GR behavior, while perceived behavior control is not a significant influencing factor. Meanwhile, adding PR and PC as the additional constructs significantly increased the explanatory power of standard TPB model. Furthermore, the conclusion confirmed altruistic motives AR can distinctly adjust the relationship between GR intention and behavior, whereas AC has no such effect. These findings provide a scientific theoretical basis and a targeted path reference for promoting GR of industrial brownfields.

scholarly journals Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem

2021 ◽  
Vol 18 (19) ◽  
pp. 10069
Author(s):  
Zhiyuan Yu ◽  
Doudou Jin
Keyword(s):  
Technology Acceptance ◽  
Traffic Safety ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Connected Vehicle

With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent connected vehicle (ICV) integrated with sophisticated communication, caching, computing, and control techniques enhance the functionality of in-vehicle infotainment (IVI) and also provide more powerful telematic or entertainment choices in vehicular environment. The diverse needs of ICV users (e.g., drivers and passengers) can be satisfied during commuting and traveling. However, considering the limitations of transportation environment, the potential attitude and usage behavior for the upcoming ICV infotainment directly impacts on the traffic and road safety in sustainable cities. In this paper, we conduct an online and offline survey to investigate the key factors influencing the user attitude and intention of ICV infotainment, where the answers of a total of 502 valid respondents (i.e., IVI users) are collected in China. A conceptual technology acceptance model with the constructs of perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), consumer innovation (CI), and perceived risk (PR) is established, and then assessed via partial least square structural equation modeling. We find that the constructs of PU, PEOU, CI, and SI have a direct impact on attitude and usage intention, of which 46.8% and 73.4% of variance, respectively, are explained. The respondents show positive attitudes and higher usage intention towards the ICV infotainment. Although PR has insignificant path with attitude and intention, the driving experience moderation effect exists between PR and usage intention. We can see that ICV infotainment will become a trend in future transportation scenario. Through this survey, reference for traffic safety and usage norms will be provided to reduce the risky of public health issues (e.g., traffic accidents) in the context of ICV infotainment.

scholarly journals Uncertainty of the business environment affecting business success due to the Covid-19 pandemic

2021 ◽  
pp. 1549-1556
Author(s):  
Okky Rizkia Yustian
Keyword(s):  
Structural Equation Modeling ◽  
Data Collection ◽  
Structural Equation ◽  
Business Environment ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Business Success ◽  
Creative Industry ◽  
Managerial Implications

The purpose of this study was to analyze the influence of entrepreneurial competence and business environment on the business success of creative industry SMEs in West Java which were affected by Covid-19. Data collection was done using a questionnaire distributed to 254 respondents. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to test the hypothesis. The results showed that entrepreneurial competence and business environment influenced the SMEs’ business success during the Covid-19 pandemic. This article also presents some managerial implications of the study.

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