E-government development and the digital economy: a reciprocal relationship

2015 ◽  
Vol 25 (5) ◽  
pp. 734-766 ◽  
Author(s):  
Fang Zhao ◽  
Joseph Wallis ◽  
Mohini Singh
Keyword(s):  
Technology Acceptance ◽  
International Study ◽  
Digital Economy ◽  
Reciprocal Relationship ◽  
General Notion ◽  
Data Set ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Term Impact ◽  
Government Development

Purpose – The purpose of this paper is to capture and understand the nature of the relationship between e-government development and the digital economy. Design/methodology/approach – Drawing on the Technology Acceptance Model and Fountain’s technology enactment theory, a multidimensional research model was developed. The model was tested empirically through an international study of 67 countries using reputable archival data, primarily including the UN’s e-government survey and the Economist Intelligence Unit’s digital economy rankings. Findings – The empirical findings indicate a strong positive reciprocal (two-way) relationship between e-government development and the digital economy. This finding provides empirical evidence to support the general notion of “co-evolution” between technology and organisations. The study also finds that along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development. Research limitations/implications – Relying on archival global data sets, this study is constrained by the coverage and formulation of the data set indices, the sample size (67 countries), and the impossibility of detecting errors that may occur in the process of data collection. Therefore, caution should be taken when making generalisations about the findings of this study. Originality/value – The paper addresses a deficit of empirical research that is supported by sound and established theories to explain short-term dynamics and the long-term impact of the digital economy on public administration. The study contributes to a more accurate and comprehensive understanding of the dynamic relationship between e-government development and the digital economy.

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook

2014 ◽  
Vol 27 (1) ◽  
pp. 6-30 ◽  
Author(s):  
Rupak Rauniar ◽  
Greg Rawski ◽  
Jei Yang ◽  
Ben Johnson
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Networking Site ◽  
Data Set ◽  
Content Type ◽  
Media Usage ◽  
Usage Behavior ◽  
Acceptance Model

Purpose – Given the widespread popularity of social media, such as Twitter, Facebook, Google+, and LinkedIn, theorizing and understanding the user attitude and usage behavior of social media site is fundamental in developing future understandings and deployment of these new technologies. One approach to such studies on drivers of social media usage behavior would be to revisit the technology acceptance model (TAM). The purpose of this paper is to discuss these issues. Design/methodology/approach – Decades of extensive research have focussed on validating the TAM, proposed by Davis (1986), for various types of information systems and communication technologies. TAM forecasts individual adoption and voluntary use of technology. This study examines individual adoption behavior of the most popular social networking site Facebook. The influences on the intention of using social networking based on individual's perceived ease of use (EU), the user's critical mass (CM), social networking site capability (CP), perceived playfulness (PP), trustworthiness (TW), and perceived usefulness (PU) is empirically examined with a primary data set of 398 users of Facebook gathered from a web-based questionnaire survey. Findings – The results demonstrate that the revised social media TAM model proposed in this study supports all the hypotheses of social media usage behavior. The results of this study provide evidence for the importance of additional key variables to TAM in considering user engagement on social media sites and other social-media-related business strategies. Originality/value – Based on our review of existing scientific literature on social media, few empirical studies have been conducted to scientifically evaluate and explain the usage behavior of social media using Facebook. A validated instrument of usage behavior of social media can provide usability experts and practitioners with a validated tool to assess social media acceptance and usage behavior. This can help us gain a better understanding of “who is and who is not using these sites, why and for what purposes” (Boyd and Ellison, 2007).

A comparison of the different versions of popular technology acceptance models

Kybernetes ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 788-805 ◽  
Author(s):  
Francisco Javier Rondan-Cataluña ◽  
Jorge Arenas-Gaitán ◽  
Patricio Esteban Ramírez-Correa
Keyword(s):  
Technology Acceptance ◽  
Linear Model ◽  
Mobile Internet ◽  
Data Set ◽  
Content Type ◽  
Use Of Technology ◽  
Internet Users ◽  
Linear Relationships ◽  
Technology Acceptance Models ◽  
Non Linear

Purpose – The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day. Design/methodology/approach – A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users. Findings – The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach. Originality/value – The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.

Co-movements between Bitcoin and other asset classes in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ngo Thai Hung
Keyword(s):  
Portfolio Management ◽  
Policy Implications ◽  
Wavelet Coherence ◽  
Causality Test ◽  
Data Set ◽  
Content Type ◽  
Dynamic Relationship ◽  
Asset Classes ◽  
Global Investors ◽  
Continuous Power

Purpose This study aims to analyze the dynamic relationship between the Bitcoin market and the conventional asset classes in India Design/methodology/approach This paper aims to cast light on the dynamic linkages between Bitcoin prices and other conventional asset classes in India by using the wavelet transform frameworks, which can allow us to analyze components of time series without losing the information. To do that, the techniques used with the data set include wavelet-based covariance, correlation, coherence spectrum, continuous power spectrum and Granger causality test. Findings The findings of the study suggest that interrelationships between Bitcoin and the key financial asset returns are statistically significant at low, medium and high frequencies. This study also finds the existence of the unidirectional connectedness between Bitcoin the other assets in India. Practical implications The outcome of the analysis calls for substantial policy implications for investors, portfolio management in India. This research on the existence of the interconnectedness between Bitcoin and other conventional asset classes in a specific country context, India can, therefore, make a significant contribution to the contemporary debate about the speculative nature of the cryptocurrencies. It casts light on whether Bitcoin provides any diversification and risk management benefits for Indian, as well as global investors. Originality/value To the best of the author’s knowledge, this is the first paper investigating the interrelatedness between Bitcoin and key conventional asset classes in India. This research makes methodological advancements by using the wavelet coherence transform. The findings provide empirical bases from which to deal with issues regarding hedging purposes and optimal portfolio allocation for an increasing number of investors in the Indian context. Therefore, the main contribution of this study to related literature in this field is significant.

Social media in the airline industry: acceptance of social seating

2017 ◽  
Vol 8 (2) ◽  
pp. 256-279 ◽  
Author(s):  
Stefan Koch ◽  
Franziska Tritscher
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Airline Industry ◽  
Survey Methodology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Small Data ◽  
Perceived Ease Of Use ◽  
Data Set ◽  
Content Type

Purpose This paper aims to analyze influences on the adoption of an application launched by some airlines and independent providers, called “social seating”, which is based on user profiles from or similar to social networks. These applications have not been widely successful, and therefore constitute an interesting exception within the area of social networking, warranting further investigation. Design/methodology/approach An empirical study based on the technology acceptance model and using survey methodology has been undertaken to understand antecedents of adoption and use of such applications. Findings Results show a consistent influence of perceived ease of use on perceived usefulness, as well as a strong role of privacy and data security. Research limitations/implications Due to the limited adoption, the actual use could only be investigated using a small data set, while the majority of results rely on stated intentions. Originality/value This is one of a few studies that focuses on a social networking application that both crosses into the physical world, and that has been very limited in adoption and success.

E-government implementation in Zambia – prospects

2014 ◽  
Vol 8 (1) ◽  
pp. 101-130 ◽  
Author(s):  
Kelvin Joseph Bwalya ◽  
Tanya Du Plessis ◽  
Chris Rensleigh
Keyword(s):  
Technology Acceptance ◽  
Mixed Methods Research ◽  
Economic Value ◽  
Structuration Theory ◽  
Organizational Level ◽  
Successful Implementation ◽  
Content Type ◽  
Government Interventions ◽  
The Individual ◽  
Government Development

Purpose – The article aims to investigate the potential of successfully implementing e-government in Zambia by considering citizens ' and businesses ' perceptions on e-government. Further, the study investigates what interventions have been put in place to encourage e-government development. The motivation of the study is that despite huge investments in e-government, there has been relatively slow adoption rendering the said interventions not to culminate into meaningful socio-economic value prepositions. Design/methodology/approach – Using the mixed methods research (MMR) approach, the study intends to identify factors influencing the adoption of e-government solutions in Zambia both at the individual and organizational level. The questionnaire utilized in this research is informed by the technology acceptance model (TAM) as well as the institutional theory and the Giddens ' structuration theory. Spearman ' s ρ was used to determine concurrent and construct validity of the data collection instruments. Findings – The study posits that a lot needs to be done if e-government were to succeed in Zambia. A majority of the research respondents are not aware of e-government implementation in Zambia. It is desirable that e-government should be implemented with due reference to local contextual characteristics. If factors negatively influencing e-government growth in Zambia are addressed, the prospects for e-government ' s contribution to revitalizing the public service are high. Research limitations/implications – Since the empirical component of this study did not cover all the nine provinces of Zambia and utilised a limited sample size of 411, the findings may not be truly representative of the situation on the ground. However, the study provides insights on what factors may influence successful implementation of e-government in Zambia. The paper recommends that further empirical study with a larger and more representative sample should be done in order for the findings to command higher statistical relevance. Practical implications – The identified factors may act as pointers to decision makers ' endeavours to design context-aware e-government interventions. This is very important to reduce failure incidences of e-government interventions considering huge costs incurred mostly using tax payers ' money. Further, study findings may be used to inform strategies for effervescent e-government development in Zambia by outlining desired interventions and anticipated adoption levels by the citizenry (supply versus demand). Originality/value – Very limited studies have focused on understanding e-government development in Zambia especially from individuals ' perspective. Most studies have attempted to understand the e-government development at a global level. This study, however, highlights factors that influence e-government proliferation at both the macro and micro levels of the socio-economic hierarchy in Zambia.

Exploring the role of service touchpoints on the path to financial, behavioral and relational customer outcomes: insights from a B2B service context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lily (Xuehui) Gao ◽  
Iguácel Melero-Polo ◽  
Miguel Á. Ruz-Mendoza ◽  
Andreea Trifu
Keyword(s):  
Service Providers ◽  
Sales Force ◽  
Seemingly Unrelated Regression ◽  
Data Set ◽  
Content Type ◽  
Customer Perceptions ◽  
Study Results ◽  
Long Term Impact ◽  
Customer Outcomes

Purpose The purpose of this study is to examine how and to what extent customer-provider service touchpoints impact business customer perceptions and outcomes in the context of long-term business-to-business (B2B) service relationships. To this end, the authors will assess the chain of effect path for different service touchpoints between business customers and service providers – and the long-term impact both on customer perceptions and financial, behavioral and relational outcomes. Design/methodology/approach Enabled by a five-year panel data set, seemingly unrelated regression model methodology is applied to test the proposed conceptual framework. Data are obtained for a sample of 2,175 B2B insurance service companies between 2013 and 2017. Findings Study results shed light on the significance of the sales force in B2B settings, as one of several key service touchpoints – together with firm expertise, service reliability and excellence – driving robust relationships, profitability and cross-buying. Firm-initiated contacts and tangible touchpoints are proven to be ineffective – even damaging in some instances – in terms of driving business customer perceptions. Originality/value The paper delivers empirical evidence providing insight on how service touchpoints and business customer perceptions have a long-term impact on customer outcomes. This has yet to be addressed in B2B service settings – despite being of vital interest to marketers, as the longitudinal approach of the research aids service firms in gaining a better understanding of company-customer touchpoints and the extent to which different factors have a decisive, lasting impact on B2B customer outcomes.

Factors influencing acceptance of augmented reality in retail: insights from thematic analysis

2019 ◽  
Vol 48 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Krishna Teja Perannagari ◽  
Somnath Chakrabarti
Keyword(s):  
Consumer Behavior ◽  
Augmented Reality ◽  
Conceptual Framework ◽  
Technology Acceptance ◽  
Thematic Analysis ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Acceptance Model ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of augmented reality (AR) on retailing by conducting thematic analysis on variables studied in the existing literature. Design/methodology/approach The data set includes 232 variables studied in 35 research papers, collected using well-defined search and inclusion criteria. Thematic analysis is used to identify patterns in the data set. Findings The eight themes emerging from the analysis are arranged in the form of a conceptual framework to model the decision-making process of users. The position of themes in the model is determined by the most dominant variable type in the theme and by employing the technology acceptance model as the reference paradigm. Research limitations/implications The current review contributes to the advancement of literature by setting a research agenda for scholars working in the field of consumer behavior and human–computer interaction. Future research should improve the generalizability of the research by replicating the method and testing the conceptual framework on other immersive technologies. Practical implications Marketers should incorporate AR technology into their experiential marketing strategies. Since integrating and managing AR technology requires expertise, organizations are advised to make use of existing toolkits or collaborate with technology companies to develop their offerings. Originality/value To maintain the uniqueness of the current study from other papers focusing on existing research done in this area, this review considers only studies using statistical techniques to study consumer behavior pertaining to AR in retail. The study uses an unconventional method for identifying patterns in the existing literature by employing theories and frameworks as the basis of classification.

An empirical investigation of the relationship between e-government development and the digital economy: the case of Asian countries

2018 ◽  
Vol 22 (5) ◽  
pp. 1176-1200 ◽  
Author(s):  
Mohammad Afshar Ali ◽  
Md. Rakibul Hoque ◽  
Khorshed Alam
Keyword(s):  
Secondary Data ◽  
Digital Economy ◽  
Asian Countries ◽  
Regional Study ◽  
Content Type ◽  
Technology Adoption Model ◽  
Dynamic Relationships ◽  
Technology Enactment ◽  
The Relationship ◽  
Government Development

PurposeThis paper aims to investigate and comprehend the nature of the relationship between e-government development and the digital economy.Design/methodology/approachA multidimensional research paradigm is developed on the basis of the technology adoption model and Fountain’s technology enactment theory. The model is empirically examined using a regional study of 20 Asian countries.FindingsA positive two-way relationship between e-government development and the digital economy has been indicated by the findings. Moreover, along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development.Research limitations/implicationsOne of the key limitations of the study is that it is based on publicly available secondary data. Therefore, some degree of caution should be kept in mind when making generalisations about the findings of this study.Originality/valueThe contribution of this study is that it provides a more accurate and comprehensive understanding of the dynamic association between e-government development and the digital economy by providing aid to policymakers in understanding the nature of dynamic relationships between the digital economy, government organisations and citizens’ adoption of technologies.

A longitudinal study of the impact of the Sydney Olympics on real estate markets

2015 ◽  
Vol 6 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Qiang (Steven) Lu ◽  
Yupin Yang
Keyword(s):  
Real Estate ◽  
Olympic Games ◽  
Data Set ◽  
Content Type ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Transaction Prices ◽  
South Wales ◽  
Long Term Impact ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of the Sydney 2000 Olympic Games on the residential real estate markets of the host city during the bidding, pre-Olympic and post-Olympic periods. Design/methodology/approach – This study uses a difference-in-differences model to analyze the transaction prices for all properties in New South Wales, Australia for the period from 1980 to 2007. Findings – The paper finds that the impact on real estate markets varies across different suburbs in the host city and over time. The real estate markets of host suburbs experience substantially higher growth during the bidding and pre-Olympic periods but not during the post-Olympic period. However, the property prices in non-host suburbs in the host city increase at a higher rate during the pre- and post-Olympic periods but not during the bidding period. Originality/value – This study offers insights into the long-term impact of the Olympic Games on host suburbs and non-host suburbs in the host city during different periods by analyzing a large longitudinal data set over a period of 27 years.

scholarly journals When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA

2020 ◽  
Vol 120 (12) ◽  
pp. 2243-2267 ◽  
Author(s):  
Nicole Franziska Richter ◽  
Sandra Schubring ◽  
Sven Hauff ◽  
Christian M. Ringle ◽  
Marko Sarstedt
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Structural Model ◽  
Theoretical Background ◽  
Equation Modeling ◽  
Necessary Condition ◽  
Data Set ◽  
Content Type ◽  
Novel Approach ◽  
Combined Use

PurposeThis research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic. The authors’ objective is to encourage the practice of combining PLS-SEM and NCA as complementary views of causality and data analysis.Design/methodology/approachThe authors present guidelines describing how to combine PLS-SEM and NCA. These relate to the specification of the research objective and the theoretical background, the preparation and evaluation of the data set, running the analyses, the evaluation of measurements, the evaluation of the (structural) model and relationships and the interpretation of findings. In addition, the authors present an empirical illustration in the field of technology acceptance.FindingsThe use of PLS-SEM and NCA enables researchers to identify the must-have factors required for an outcome in accordance with the necessity logic. At the same time, this approach shows the should-have factors following the additive sufficiency logic. The combination of both logics enables researchers to support their theoretical considerations and offers new avenues to test theoretical alternatives for established models.Originality/valueThe authors provide insights into the logic, assessment, challenges and benefits of NCA for researchers familiar with PLS-SEM. This novel approach enables researchers to substantiate and improve their theories and helps practitioners disclose the must-have and should-have factors relevant to their decision-making.

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