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We report which capabilities are essential to a successful demand-driven inter-organizational international technology transfer (ITT) when a business deal involves an emerging country recipient and a developed country source. Using a mixed-methods approach, the study collected opinions from 74 experts from 12 countries on technology transfer and diffusion, innovation systems and networks, and knowledge-intensive business services. In a preliminary attempt to identify which skills are critical, we present the perspective of emerging countries’ stakeholders. The suggested 28 critical capabilities can be used as an input for further empirical analysis. The conceptual framework can be applied to assess an intermediary’s performance for a given ITT project in which the demand arises from an emerging-country stakeholder.

Although public-private partnerships (PPP) and electronic government (e-government) have proven to be fruitful mechanisms for economic development and emerging economies seem to recognize their importance, consistent methods for analyzing the early planning stages of e-government portfolios are lacking. The present work utilized a comprehensive literature review to understand the evaluation criteria for PPP projects throughout the early-stage planning process. A qualitative meta-synthesis was employed to identify critical factors for PPP and e-government, with a particular focus on developing countries, PPP, and e-government criteria. Our research presents a framework named "PPP4e-Gov" (public-private partnerships for e-government). The framework compares risk and value factors of e-government PPP projects and adopts a weighted scoring model that estimates the risks that should be considered in a project and how much value a given e-government initiative may generate if the PPP option is chosen. As an illustration of how the framework may be used, the paper interviewed ten practitioners in Costa Rica who tried out PPP4e-Gov and showcased how to plan their e-government initiatives.

Information and telecommunication technologies are considered significant for the economic and social development of isolated and remote areas. Internet technologies create links between urban and rural areas that can overcome the barrier of distance that typically hinders development. In rural areas of Pakistan, Internet penetration is low due to high cost, lack of manageable infrastructure, public issues and many other factors that disturb sustainable Internet provision; however, the choice of access to technology in rural areas is a complex process. In this paper, we used the Analytic Hierarchy Process (AHP) method, which is a powerful multi-criteria decision-making (MCDM) approach and is a structured procedure for organizing and analyzing complex decisions. Furthermore, we proposed an AHP model for the selection of an ideal Internet access technology, which would facilitate access to Internet services to the 61% of the population who live in Pakistan’s rural areas. Data were collected from 38 respondents, from both academia and the telecom sector IT professionals. The relative weights of each factor and technology alternative were synthesized with Expert Choice 2000. This paper can provide comprehensive recommendations to telecommunication policymakers for Internet deployment and the selection of optimal Internet access technology in rural Pakistan.

From the government’s perspective, it is important to understand the factors that influence effective utilization of new service channels, particularly the use of smart devices. Furthermore, how th...

Purpose The purpose of this paper is to extend the theory of consumption values by investigating the influence of aesthetic, conditional, convenience, monetary, epistemic, self-gratification, and social value on customer pre-adoption choice behavior to use mobile financial services. Design/methodology/approach Data were collected using an online survey questionnaire resulting in 524 total responses from registered users of M-PESA mobile financial services in Kenya, ultimately resulting in a usable sample of 384 responses. Partial least squares was used to evaluate the research model and associated hypotheses. Findings Aesthetic, conditional, convenience, monetary, epistemic, and self-gratification value are positive determinants of customer pre-adoption choice behavior to use M-PESA mobile financial services, but not social value. Research limitations/implications Survey participants were limited to customers of M-PESA mobile financial services in Kenya. The study findings present important implications for managers and academic researchers in the mobile financial services market. Originality/value This is one of the first empirical studies to investigate customer pre-adoption choice behavior to use M-PESA mobile financial services from the perspective of customer perceived value.

This paper proposes a two-dimensional lens to examine government capacity in developing countries. In addition to the conventional approach of assessing policies and institutions to examine government capacity, we propose that the development of e-government services should be a second axis of analysis in the current informatized world. Clustering analysis is implemented to examine how certain policies and institutions, along with the development of e-government services, are related to human development outcomes. The results showed a positive and significant relationship, and the particular importance of e-government was discovered. We use the Markov chain model to examine countries' transition patterns and to forecast future transitions. Our findings underline the importance of this two-dimensional approach, and the harmonious incorporation of traditional and novel approaches seems ideal to achieve development in a more effective and efficient way, ultimately leading to United Nations Sustainable Development Goals. This study can provide insights for policy makers in corresponding countries and international organizations to use in estimating transition patterns and the future direction of governmental excellence and in planning and strategy development. In particular, the proposed method for analyzing developing countries from the macro perspective may help guide international organizations to set up development strategies now in preparation for the time post-Millennium Development Goals.

Network operators' mobile handset bundling has merits and demerits in mobile service market.Sole bundled sale without unbundled option can restrict market competition and consumer welfare.Mobile handset bundling has dominated the Korean mobile telecommunications service market.Several Korean remedial policies have achieved the changes in the market share.MVNOs' business differentiation and government support can be another solution to existing bundling. Governmental policies can significantly affect the social adoption of services offered by communication technology providers and competition between service providers. Following the implementation of several policies by the Korean government and mobile network operators' promotion of mobile handset bundling, consumer adoption rates of the latest mobile phone and communications services have been higher in Korea than in other countries. Mobile handset bundling provides consumers the bundled sale of mobile phones and services, but this practice can restrict consumers' choice of services and limit competition among service providers. This study analyses this ambivalent effect of bundling by mobile network operators (MNOs) and evaluates the outcomes of the Korean government policies (2011-14) using market statistics. Our results highlight that the policies have produced changes in market share but the government needs to promote service differentiation among providers.

The Internet of Things (IoT) is a representative technological innovation for future computing and communications. IoT technologies such as Radio Frequency Identification (RFID) and sensors have garnered huge attention in both academia and industry. However, the expected rapid adoption and diffusion of IoT technologies have not yet taken place and there is still a lack of understanding about IoT and how industries can apply IoT properly. To understand IoT utilization, predict the diffusion trends of IoT, and provide reliable guidelines for potential IoT adopters, this study investigated the value configuration of IoT technologies, focusing on the utilization of specific technology attributes of IoT in particular business contexts. Based on 762 IoT business cases (2008–2012), this study explored the technology attributes and business contexts of IoT usage and identified five representative value configuration models of IoT through cluster analysis: ID-based service model, Multiple operation management model, Service-combined inventory management model, Intelligent inventory transport model, and Sensor-based multiple service model. In addition, propositions for IoT utilization in each industry were provided according to the five value configuration models. The research results provide a holistic view for understanding IoT utilization in various business areas and the value configuration framework approach provides a more elaborate frame to understand diffusion trends of new technology.

Software-as-a-Service, a new model of accessing software, presents individual users with tremendous opportunities to work and live conveniently and efficiently. Existing research has put much focus on understanding SaaS potential and risks for organizations and not much effort has been invested in understanding individual users, despite their market significance. This study aims at closing this gap by analyzing the cognitive mechanism through which individual users trade off privacy against the benefits that SaaS offers and identify salient benefits that trigger such trade-off. Based on the Theory of Reasoned Action, the Privacy-Trust-Intention model and cost-benefit theories, we developed a research framework that capture the trade-off between benefits and privacy and further analyzed data collected from an online survey of SaaS users in Korea with 290 respondents. Our findings indicate that individual users’ intention to use SaaS is negatively affected by privacy concerns and positively affected by overall perceived benefits in a relationship that is mediated by trust towards SaaS providers. Surprisingly, no direct, significant effect of privacy concerns on intention to use SaaS was found, whereas overall perceived benefits were found to have a direct effect on users’ intention to adopt SaaS. We found convenience to be the most salient benefit that users expect from adopting SaaS. Our study contributes to existing research by developing and empirically verifying a benefits-versus-privacy framework in a rather neglected segment of SaaS consumers in previous research. The findings also guide SaaS providers in mitigating privacy concerns; while efforts to minimize privacy will enhance users’ trust, it is of paramount importance to maximize salient benefits such as convenience that outweigh privacy concerns during users’ decision making to adopt SaaS.

E-government has received increasing attention as an innovative method for improved governance, and many countries are channeling their efforts and resources into its development. However, the outcomes of e-government development have varied across countries and particularly across developing countries. Because developing countries generally have a poorer context than developed countries, they confront many challenges in e-government implementation. This paper proposes a method for assessing e-government implementation in developing countries to help them better identify problems and determine the appropriate responses to achieve their goals. Taking the design-reality gap perspective, the strategy, technology, organization, people, and environment (STOPE) framework is adopted and combined with the analytic hierarchy process (AHP). This method bridges the gap between theory and practice. The Indonesian e-procurement system is used as a case study to demonstrate the use of the proposed framework. STOPE model is used to fit in the context of developing countries in e-government.Critical factors constituting the model were identified.AHP is combined with the framework for higher usability.Application to Indonesia e-procurement proves the usefulness of the method.

We are living in an era where data lead to opportunities, especially customer data. According to privacy laws, however, without customers’ authorisation, organisations face many limitations in using identifiable information for secondary purposes. Consequently, organisations are missing out on many potential business opportunities to capitalise on customer data. Privacy concerns have become the biggest roadblock to gain customer consent because of the potential risks associated with the use of personal information. This situation underscores the importance of devising effective information practices and strategies in dealing with the use of customer data. Privacy literature suggests that information practices may influence individuals’ intentions to participate in situations requiring the collection and use of personal data. Yet, existing research has not systematically analysed the role of these strategies in influencing intention. Also, previous studies focus primarily on the disclosure of personal data. Issues surrounding ‘authorisation of personal data for secondary use’ remain unexplored. The purpose of our study is to examine the role of information practices on intention to authorise secondary use of personal data. The results show that privacy concerns and trusting beliefs significantly affect individual perceptions of information practices. Perception of information practices in turn exerts significant effect on intention to authorise secondary use of personal data. Both theoretical and managerial implications of the results are discussed.

Environmental policies and customer concerns about environmental pollution lead to the implementation of environmental management by companies. Beyond individual-level efforts, manufacturing firms started to integrate green activities into their supply chain management system. However, suppliers still struggled to satisfy the needs of buyers and customers related to environmental capabilities in the construction sector because of the lack of communication resulting from the hierarchical relationship between buyers and suppliers. This study empirically examined the communication capabilities for green supply chain management and the relationship among external green integration, green cost reduction, and corporate competitiveness from the suppliers' perspective. We collected data from a survey of 103 construction suppliers in Korea and employed structural equation modeling to test the hypotheses. The findings from this study indicated that suppliers with higher information sharing capabilities improved their environmental collaboration, contributed to green cost reduction, and achieved their competitive advantage. In addition, the results showed that green alignment—the degree of consistency in the evaluation of suppliers' environmental capabilities made by buyers and suppliers—had a positive influence on the suppliers' competitiveness. Thus, the managers who can understand the buyer-supplier relationship and the necessity for environmental management in supplier firms need to consider information sharing and external green integration as critical factors for the implementation of an effective green supply chain management system. In addition, this study provides scientific value by revealing the role of communication capabilities, identifying the importance of supplier perspective, and exploring green supply chain management in the context of the construction industry.

To the extent that demand response represents an intentional electricity usage adjustment to price changes or incentive payments, consumers who exhibit more-variable load patterns on normal days may be capable of altering their loads more significantly in response to dynamic pricing plans. This study investigates the variation in the pre-enrollment load patterns of Korean commercial and industrial electricity customers and their impact on event-day loads during a critical peak pricing experiment in the winter of 2013. Contrary to conventional approaches to profiling electricity loads, this study proposes a new clustering technique based on variability indices that collectively represent the potential demand–response resource that these customers would supply. Our analysis reveals that variability in pre-enrollment load patterns does indeed have great predictive power for estimating their impact on demand–response loads. Customers in relatively low-variability clusters provided limited or no response, whereas customers in relatively high-variability clusters consistently presented large load impacts, accounting for most of the program-level peak reductions. This study suggests that dynamic pricing programs themselves may not offer adequate motivation for meaningful adjustments in load patterns, particularly for customers in low-variability clusters.

We investigate trust in government social media and expansion in citizen patronage.We utilize a structural equation model and sample from Korean Facebook uses.Process and characteristic-based trust effect positively on government trust by social media.The formation of trust in government can be expanded into patronage intention and actual behavior. As governments across the world have decreased in perceived reliability and trust, they now need more stable and continuous tools to communicate with their citizens. In this context, many government agencies are attempting to use social media tools to communicate with the public and promote citizen's trust. But, few studies have investigated the critical factors and antecedents of trust in government under social media context. Thus, this study empirically analyzes the antecedents and formation of citizen trust and expansion in actual citizen patronage behavior deploying structural equation model. The survey data was obtained from Korean population who used government's social media service. The results indicate that the formation of citizen trust in the government can be expanded into patronage intention toward social media and actual behavior. This study also demonstrates that factors related institutional-based trust, characteristic-based trust, and process based trust contribute to improving trust through government social media services. This study provides contribution as research that discovers the antecedents of trust in government social media use and it employs integrated perspective for the structural components of trust simultaneously.

Blockchain, and cryptocurrencies such as Bitcoin, Ethereum, and Litecoin, are innovative FinTech technologies that speedily invade the finance market and changing the power of the global economy. However, there was a low acceptance of these technologies among consumers. There is a clear gap in-between that has not yet been taken into consideration and has been misunderstood on many platforms. This paper intends to estimate the usability of blockchain technology by investigating behavioral elements that affect customers' intention towards blockchain-based cryptocurrency transactions. Given the complexity of the technology, this study proposes a new integration model: The Technology Acceptance Model (TAM) together with new external variables regarding blockchain adoption characteristics such as trust, regulatory support, social influence, design, and experience. Surveys were conducted among international users to identify the impacts of these variables on their intention. Our findings indicate two powerful constructs (regulatory support and experience) that encourage customer trust towards blockchain-based applications. People surveyed agreed on a great sense of security and can trust the Blockchain-based applications when they are regulated and insured by the local government. Also, at a certain level of experience, users feel confident to use blockchain-based applications, a high level of trust supports technology adoption. As such, governments and businesses can dedicate efforts to enhance customers' trust and ultimately promote better acceptance of blockchain technology and its applications.

The purpose of this research is to remove barriers hindering radio frequency identification (RFID) adoption/diffusion in industries, and help firms develop effective supply chain management (SCM) practices utilizing RFID, by elucidating the specific mechanisms through which RFID influences supply chain performance (SCP). On the basis of the technology-organization-environment framework, this research examines the technological characteristics and practical context of RFID usage in our theoretical model. It investigates how RFID utilization contributes to supply chain information sharing (SCIS) and, in turn, how SCIS influences SCP. The supply chain culture of competitiveness (SCCC) is proposed as a moderator of the links between RFID utilization and SCIS, and between SCIS and SCP. RFID utilization enhances SCP through the mediating effect of SCIS. The SCCC moderates the effect of RFID utilization on SCIS and directly contributes to SCP. RFID utilization can be an alternative to supplement market competitiveness. Nevertheless, from a long-term perspective, supply chains should develop an SCM strategy, oriented toward learning, innovativeness and entrepreneurship, for the enormous impacts of SCCC on SCP. On the basis of the resource-based view, we focus on the notion of the SCCC instead of individual firm characteristics to operationalize organizational characteristics.

Facilitated by advancement in technology, today, usage of mobile instant messaging (MIM) applications is a dominant global phenomenon that permeates every part of the world. This phenomenon results in drastic shift in customer attitude and behavior on how to connect and interact with others. MIM service has been replacing telecommunications operators (telcos)' short message service, and because third-party MIM applications are those gaining meaningful traction, this trend is threatening the telecommunications industry as it leads to losses in telcos' revenues. To cope with this onslaught of third-party MIM applications, telcos launched Joyn, their own MIM application. However, despite their similar technical characteristics, Joyn still lacks user traction. It is critical, therefore, to understand the antecedents to continuance use intention of MIM applications in both contexts. Based on the expanded expectation-confirmation model (ECM), the present research develops a benefit-confirmation model that examines the antecedents to continuance intention to use MIM applications, while provides a comparative analysis of two popular MIM applications in Korea-KakaoTalk (third-party) and Joyn (telcos). A total of 467 data point were collected online. The structural equation modeling results of the total sample provide support for ECM-related hypotheses as well as for significant effects of net benefits and network benefits on continuance intention to use MIM applications, while the comparative analysis suggests that KakaoTalk's prominent features are hedonic in nature, whereas, Joyn's main attribute is its interoperability. The implications of these findings are discussed. We examine drivers of usage intention of mobile instant messaging (MIM) applications.We compare results from KakaoTalk (third-party) and Joyn (telco).Perceived benefits and network benefits play an important role on usage intention.Enjoyment is significant in KakoTalk and network benefits in Joyn.Hedonic features of KakoTalk may be the potential cause of its success.

Citizens’ trust in a government is critical when the government utilizes Twitter to communicate with the public. This research collected 398 questionnaire samples from Korean citizens who communicate with a central government department via Twitter and employed a structured equation analysis. The study discovered that tweets coming from a leading (or an executive) government officer (e.g., a minister) played mediation role in increasing citizens’ perception of credibility in governmental Twitter feed. Furthermore, the citizens’ trust in governmental media functioned as a moderator for expanding their trust in government from an agency level to the overall government.

Dynamic pricing of electricity is receiving growing attention as a key enabler of the smart grid and a solution for promoting grid resilience to increasing penetration of renewable sources. Despite various dynamic pricing programs are contemplated and actively implemented by utilities in many developed economies, corporate decision makers are not aware of the extent to which their businesses can adapt to the programs and its associated risks and opportunities. This study investigates the demand response of commercial and industrial businesses to the Korean critical peak pricing pilot which was implemented in the winter of 2013. The demand responses of 802 businesses covering 34 commercial and industrial categories are evaluated and characterized by constructing their individual baseline loads. The results resoundingly confirm substantial differences in demand response across and within the segments, with the magnitude of response closely correlated with the firms' expenditure shares of electricity. It is thus suggested that conventional business classification is not sufficient enough to characterize firms' demand response to dynamic pricing plans, calling for firm-level, data-based approaches to consumer segmentation and electricity services. This study also identifies two important types of response behavior to which due attention has not been paid: shortterm learning effect — that is, the demand responsiveness increasing with CPP event experiences — and seemingly inefficient behavior of preparatory and recovering reductions in off-peak hours neighboring critical peak hours.

This research examines the impact of environmental performance on firm value, applying the event study methodology to Newsweek’s ‘Green Rankings’ announcement of 2012 for large US firms. Specifically, it analyzes the impact of the absolute green score and green rank of firms on their performance in the stock market. We found that investors perceive the announcement as positive news, leading to significant positive standardized cumulative abnormal returns (SCARs). After controlling for industry- and firm-specific effects, we observed that firms with repeated green rankings for enhancing environmental performance showed significantly higher SCARs than those with either reduced or unchanged environmental performance. In addition, the environmental impact score measuring environmental damage from a firm's operational activities was found to be the most influential factor in improving the firm's value. Our findings are beneficial to managers in allocating resources to different types of environmental initiative, and provide valuable insight for sustainable environmental investment. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment

Technological development in the past decade has motivated governments in developing countries to focus on leveraging new technologies for efficient and effective public service delivery. M-government has been singled out as one of the fundamental aspect for socio-economic growth in developing countries. Therefore, this study aims at investigating the factors that influence individuals in adoption of new technology, specifically m-government in the context of developing countries. Precisely, this study was to present and empirically validate a research model based on user behavior that examine m-government acceptance in developing countries and inspect the moderating role of facilitating conditions on m-government adoption. The research model was tested using data from 248 respondents from Kenya, surveyed between August and September 2011. The results indicated that the proposed model explained a variance of 60.5 percent of behavior intention to use m-government. In addition, facilitating conditions were found to be a crucial spur to m-government acceptance in developing countries.

From the government’s position in which communication and relationships with its citizens are crucial, as social media grows in popularity, questions regarding how it is being used to communicate with citizens become important. Thus, governments should effectively utilize social media while considering the significant diversity of characteristics and risks that are inherent in social media, alongside reflecting on the potential for practical use as a channel for government service provision and communication. In particular, understanding a citizen’s perceived value of a government service through social media and social media’s media synchronicity under the characteristics of government services could provide significant insights into the government’s social media use. Also, it is meaningful to understand how attractiveness in e-government, which is the primary communication channel for G2C, affects citizen satisfaction of the government service provided with social media. We investigated the role of social media as a communication channel for enhancing citizen patronage behavior in government social media services and the effect of social media on their satisfaction depending on the perceived value using a structural equation. This study emphasizes the importance of appropriate understanding of the media characteristics of social media in order to increase citizen satisfaction with government social media services.

Purpose – Based on social conformity and social value perspectives, the authors aim to empirically examine the critical role of social influences on Twitter user behaviour. Design/methodology/approach – An integrative structural model is developed to explain how social influences, which are divided into social conformity and social values, work with other salient factors such as the utilitarian and hedonic values to affect the use of Twitter. The partial least square method was used to verify the proposed model with usable data from 204 adult Korean Twitter users. Findings – Social conformity positively affects the frequent use of Twitter and it is mediated through perceived values such as the hedonic, utilitarian and social appearance values associated with Twitter use. While social appearance negatively affected the trustworthiness of information shared on Twitter, the social capital effect on Twitter use was insignificant. Research limitations/implications – This study has some limitations for general applicability of the results: the samples include only adult users in Korea, and it is a cross-sectional study for a specific social networking service. This study theoretically disentangles the complicated nature of social influences by proposing two distinct constructs (social conformity and social values) and empirically verifying their significant roles in Twitter use. Practical implications – Practitioners should recognise that the hedonic value of Twitter is the key factor that affects both the quantity and quality of information shared on Twitter. In addition user motivations for pursuing social appearance in SNSs might cause a user to distort the information that they produce. Originality/value – This study provides unique implications related to the role of social conformity, social values and user behaviour on Twitter.

In spite of exponential growth projections of RFID (Radio Frequency Identification) market value, many companies are reluctant to adopt RFID and RFID vendors are complaining that the business is not growing as fast as expected. The existing challenges and deep skepticism that RFID is facing remains around the return on investment, the incompleteness of RFID technology, and the lack of trust in the result of performance improvement. To fill these voids identified in previous research, from the perspective of business productivity and efficiency, this paper investigates what factors affect RFID-driven task performance, based on the extended Task-Technology Fit (TTF) model. To empirically evaluate the proposed model, a total of 63 usable responses were collected from companies in Korea, and the data is analyzed by Partial Least Squares (PLS). The results obtained pointed out the importance of the fit between the technology and users’ tasks in achieving individual performance impact. Moreover, negative perceptions toward RFID have no direct effect on continuing RFID utilization. Knowing these factors, potential technology users are able to evaluate if it is reasonable to adopt RFID under certain conditions and at a certain point in time. Furthermore, they can attempt to actively influence these variables in order to reduce the failure probability of RFID deployments.

This paper investigates the dynamic evolution profiles of science and technology knowledge production in Brazil and the Republic of Korea from 2000 to 2009. The two countries have followed different models of publication profiles, bioenvironmental model and Japanese model, and they currently belong to periphery countries in terms of the center-periphery framework. Brazil and the Republic of Korea have established a few core disciplines successfully and increased their share in the world publication of scientific papers over the last decade. Notwithstanding the fact that the two countries have recorded sustained growth in the percentage of published scientific papers, South Korea has evolved into a more balanced science and technology knowledge production system, whereas Brazil into the more unbalanced knowledge production system. Core-lagging or periphery-lagging patterns of science production have been revealed in Brazil and indirectly imply that the existing science base has not been fully stimulated or utilized.

This paper is an empirical study identifying the role of a relationship-specific capability of building capabilities through relationships (CBC) when suppliers put efforts into increasing their perceived market effectiveness by managing the effects of relationship quality. The relationship between relationship quality and effectiveness is mediated by CBC. Suppliers in a supply chain form different levels of relationship quality with partners in response to market conditions and industry characteristics. Relationship marketing by suppliers requires a deep understanding of the role of CBC that is developed by a supplier and an effective utilization of CBC to lead an effective relationship to better outcomes. This leads to maximizing of the competitive advantages for suppliers and will help maintain effective relationships.

In a knowledge-based society, government organizations become more knowledge-intensive. Most governments which have not yet implemented effective knowledge management systems for government organizations have indicated concern about increasing the impact of knowledge sharing to promote the success of e-government implementation, and they have tried to determine what types of organizational social factors influence knowledge sharing among government employees. To provide insight into these concerns, this paper presents an empirical study of how major organizational social enabling factors influence knowledge sharing among employees by conducting surveys in a number of central government organizations that implement e-government strategies in Mongolia. The research model was analyzed using the partial least squares (PLS) method. This study also investigates the mediating effects of knowledge sharing between the organizational social factors and employee performance with the moderating role of the e-government facilitating conditions. Leadership, reward and trust were revealed in this research as the components of the strongest foundation for knowledge sharing. The results also show that knowledge sharing plays a mediating role between these organizational social factors and performance. Moreover, this study finds that facilitating conditions play a key role as enablers of organizational performance improvements. These findings present important implications for policymakers to improve strategic planning for e-government implementation through investments that utilize the necessary facilitating conditions with sufficient knowledge sharing among employees of government so as to create a more conductive environment for improving organizational performance.

This study presents a comprehensive framework to identify dynamic radio frequency identification (RFID) adoption and diffusion from three different perspectives: stages of adoption, levels of analysis, and domain of issues. The main concern of this study is stages of adoption, which covers three phases in respect of the maturity of the RFID project and the sophistication of business applications and RFID technology. The level of analysis involves different units of analysis beyond the organization level, including the industry- and country-level, which is lacking in the current literature. To understand dimensions of RFID issues, a strategy, technology, organization, people and environment (STOPE) based approach was applied. An extensive review of prior literature was conducted to find various RFID success factors and the Delphi method was applied to find positions of these factors within the framework. Based on the Delphi, some factors belong to early stage of adoption, and some others persist in the later stages of adoption. At the country level, factors such as RFID national policy, RD strategy and environment were accepted as important domains. To find practical implications of the framework, a case study of Indonesia was conducted at each level of analysis. Analytic hierarchy process (AHP) was applied to identify most important factors and important domains of issues with respect to the factors from the Delphi results. At country level, RFID policy, vision of leadership and RFID potential market are the most important factors; strategy and environment are the most important domains.

Green supply chain management (GSCM) enhances a firm’s competitiveness for sustainable growth. GSCM is especially important in the construction industry, a project-based business that often results in heavy environmental pollution. For the successful implementation of GSCM in the construction industry to occur, contractors should make the best use of suppliers’ environmental capabilities based on shared understanding of the capabilities. This paper examines the shared understanding of suppliers’ environmental management capabilities between the contractor and suppliers by assessing the consistency between the contractor’s and suppliers’ evaluations of the capabilities. This explorative case study investigates a supply chain comprised of a major construction firm and 106 suppliers in Korea. The results of the case analysis show that the suppliers’ self-evaluation scores of environmental capability are higher than the contractor’s evaluation scores. Furthermore, from both evaluators, suppliers received the lowest scores in the evaluation item rating the relationship with second-tier suppliers and the highest in the evaluation item rating the relationship with the contractor. The consistency between the suppliers’ and contractor’s evaluation is related to several characteristics of suppliers, such as industry type, firm size and partnership duration with the contractor. This study contributes to the literature of GSCM and strategic alignment amongst supply chain partners for the construction industry.