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This paper suggested a model for sensing security at the cloud computing environment using the cognitive radio (CR) system. The proposed sensing security technique at the cloud situation enables the authors to estimate the distance of the IT equipment by means of the perceived information, namely the value of interfering temperature from the spectrum sensing. The paper aims to discuss these issues.

In this paper, how IT devices can communicate within the current frequency is studied. Based on this, techniques for CR cloud network system of the sensing security are proposed.

Based on the information of this value of distance, the user of the electric wave cognition could maintain security up to the maximum level within the range beyond intervention influence, deciding the maximum transmission of electricity which is available.

The proposed technique in this paper may lead the user perceiving the electric wave to select the adapted modulation level by considering the transmitted electricity and the interference temperature level of the given channel situation.

As family and nonfamily businesses differ in how they do business, the focus of this manuscript is on understanding how strategy-level models can be misinterpreted if family involvement is not considered. Thus, in this manuscript, the focus is on understanding the extent to which strategic orientations (market orientation and technology orientation, which reflect strategic approach), strategic performance metric focus (financial-based, optimization-based and market-based, which reflect strategy evaluations) and strategic audacity (which reflects boldness in envisioning and delivering strategic outcomes) play a role in driving firm performance – in family businesses vs nonfamily businesses. Understanding how these drivers impact performance differently in family vs nonfamily businesses enables companies to better direct their strategic efforts.

After presenting theoretical concepts, authors use regression analysis on a sample of companies in a developing European Union (EU) country (n = 282) to evaluate the impact of strategic orientation, strategic performance metric focus and strategic audacity on firm performance separately in three samples: the full sample (consisting of both family and nonfamily-owned firms), sample of family businesses and the sample of nonfamily businesses.

The role of strategic orientation, strategic audacity and focal goals in driving firm performance differs depending on the company type (family vs nonfamily). In the case of nonfamily businesses, strategic audacity and technology orientation with the focus on efficiencies and markets are driving firm performance. In the case of family businesses, both market and technology orientation are important drivers of performance; the focus on financial and market indicators of performance is positively impacting performance, while the focus on efficiency indicators is diminishing the performance of family businesses. Thus, results show that of the performance drivers for family businesses, some are insignificant (strategic audacity), while some even have a negative impact (focus on optimization-based measures of performance) on family businesses' performance. Moreover, results show that some of the drivers of performance in case of family businesses (market orientation and focus on financial-based measures of performance) are not drivers of outstanding performance in the case of nonfamily businesses.

Best practices differ for family vs nonfamily businesses. In case of family businesses, comparing them to nonfamily businesses, market orientation and the focus on financial-based measures of performance have a greater impact on firm performance, while, at the same time, family businesses should refrain focusing on pursuing optimization-based measures of performance as such pursuit drives down their performance. Understanding the drivers of performance specific to family businesses will enable such firms to better navigate contexts characterized by ambiguity and uncertainty.

The manuscript evaluates how models, generally researched in the overall firm metrics, differ between family businesses and nonfamily businesses, thus delivering new insights into the important marketing concepts.

Information and communication technologies (ICTs) have featured strongly in all the recent national foresight studies. This paper documents some of the common trends that emerge from a comparison of these different studies and attempts to draw some strategic conclusions. The first section charts their relative importance. The main trends identified in the national foresight studies are then discussed by main technological areas in turn: software, components and peripherals, advanced telecommunications and telematics applications. Finally, the third part of the paper, strong interactions that ICTs have with other technological disciplines is considered, especially in relation to new materials, nanostructures and bioinformatics.

The purpose of this paper is to develop a commercialization model based on gaining economic benefits through the transfer of technological capabilities in the oil and gas industry. Since commercialization models are mostly based on the implement of technology to produce and sell new products, this study focuses on developing a specific independent technology commercialization model.

The method of this research is qualitative based on the grounded theory. For this purpose, general variables with content analysis were extracted by reviewing documents (Literature review) and then for identifying special components, interviewing experts in the Iranian oil and gas industry. Participations were selected using snowball sampling for semistructured interviews.

The findings of this research were extracted based on grounded theory with data analysis in MAXQDA software. In this research, first, 210 open codes were identified based on qualitative content analysis of relevant documents and results of interviews with experts. Then the classification of open codes was done, and 46 subcategories (variables) were determined in the commercialization model. Finally, 46 subcategories were classified into 10 categories as axial codes in grounded theory as components of the commercialization model.

The results of this research have led to the creation of new practical and theoretical implications. In this research, a new perspective of commercialization with the aim of transferring technology and obtaining its economic benefits for oil and gas industry companies was discussed. Also, based on the practical implications explained in this research, policymakers can use the suggested model to effectively implement independent technology commercialization to acquire economic benefits.

This study is purely original and the outcome of the research conducted by the authors. The research findings are the outcome of in-depth study on technology commercialization in the Iranian oil and gas industry.

Change readiness (CR) is viewed as a multidimensional behavior that reflects the firm's competencies to do three things in response to environmental opportunities and threats in its industry: trigger identification; gearing up to take action (preparation); and the action's degree of novelty. The main purpose of this study is to propose and test an alternative conceptualization for CR.

Data were collected from 217 organizations in 14 countries. All respondents were in charge of, or involved with, their firms' strategic decisions and implementations thereof and filled out a structured questionnaire.

It was found that CR is influenced by both internal and external variables, including management orientation (entrepreneurial, centralization), environmental barriers, and technology and innovation roles in firms' business strategies. In addition, a higher degree of CR was correlated with better performance and with higher management evaluation of success in coping with environmental triggers.

The size and selection of the sample may pose limits in generalizing the study findings. Future studies may increase the number of interviews per firm, use objective assessments of performance and provide more specific information about threats and opportunities, as well as the type of industry.

The proposed CR concept is based on specific behavior rather than on attitude. CR is perceived as a strategy‐oriented construct that demonstrates the capacity of an organization to respond effectively to new developments in its environment.

The purpose of this paper is to investigate whether self‐service technology (SST) can enhance customer value (CV) and customer readiness (CR). In addition, it is proposed to inspect the effects of CV and CR in customers' continued use of Internet banking.

An online survey was used with a sample of 771 respondents. Structural equation models (SEM) were used to examine 11 hypotheses in the theoretical framework.

SST characteristics (i.e. ease of use, usefulness, costs saved, and self‐control) demonstrated positive effects on CV and CR. CR is positively related to CV. Furthermore, customers are willing to use Internet banking when CV and CR are high.

The study examines the factors contributing to positive effects on customers' continued use of Internet banking. Further research is recommended to investigate the effects of negative factors, such as risk and complexity. In addition, the same methods should be used to reproduce the survey in other industries to support generalizability.

Managers should reinforce SST in order to increase CV and CR, which would influence customers' willingness to continue using Internet banking.

Unlike previous research, the study focuses on consumers' continued use of Internet banking as opposed to initial use. It concentrates on customer retention rather than customer acquisition. It is the first study to conclude that CV and CR significantly affect continued use of SST.

Recycling and reuse of the electric vehicle (EV) batteries are ways to extend their limited lives. If batteries can be traced from production to recycling, it is beneficial for battery recycling and reuse. Using blockchain technology to build a smart EV battery reverse supply chain can solve the difficulties of lack of trust and data. The purpose of this study is to discuss the behavioural evolution of a smart EV battery reverse supply chain under government supervision.

This study adopts evolutionary game theory to examine the decision-making behaviours of the government, EV manufacturers with recycled used batteries and third-party EV battery recyclers lacking professional recycling qualification.

On the smart reverse supply chain integrated by blockchain technology, a cooperative recycling strategy of the third-party EV battery recycler is the optimal choice when the government tends to actively regulate. The probability of the EV manufacturer choosing the blockchain adoption strategy exceeds (below) the threshold, and the government prefers negative (positive) supervision. According to numerical analysis, in the mature stage in the EV battery recycling industry, when the investment cost of applying blockchain is high, EV manufacturers' willingness to apply blockchain slows down, the government accelerates adopting a negative supervision strategy and third-party EV battery recyclers prefer cooperative recycling.

The results of this study provide opinions on the strength of government supervision and the conditions under which EV manufacturers and third-party EV battery recyclers should apply blockchain and cooperate. On the other hand, this study provides theoretical analysis for promoting the application of blockchain technology in smart reverse supply chain.

Compared with previous research, this study reveals the relevance of government supervision, blockchain application and cooperation strategy in smart EV battery reverse supply chain. In the initial stage, even if the subsidy (subsidy reduction rate) and penalty are high and the penalty reduction rate is low, the EV manufacturer should rather give up the application of blockchain technology. In the middle stage in the EV battery recycling industry, the government can set a lower subsidy (subsidy reduction rate) combined with a penalty or a higher penalty (penalty reduction rate) combined with a subsidy to supervise it. The third-party EV battery recycler is advised to cooperate with the EV manufacturer when the subsidy is low or the penalty is high.

This paper seeks to explore the interplay between corporate social responsibility and innovation and questions the premise, often underlying EU communications, that the two agendas are in general mutually supportive. In order to accommodate a closer fit the paper argues for a dynamic reinterpretation of CSR.

This is a conceptual paper that presents discussions and conclusions at the theoretical level. It provides a brief overview of core parts of the CSR and the innovation literature and then analyses how the perspectives on the firm in these two literatures fit together. The final section raises normative and theoretical issues with respect to innovation and CSR.

The paper documents the difficulties of assuming that innovation policy and CR policy can easily be mutually supportive. While the assumption of compatibility and synergy may be reasonable for some types of innovation, and some types of CR, it can hardly be argued on a general basis. A core finding is the need to differentiate between complementary static and dynamic views. While much of the innovation literature is dynamic in its nature, much of the CR literature has traditionally been given a static interpretation.

The original value of the paper is that it highlights inconsistencies in the dominant static interpretation of CSR with important sides of the innovation economy. It also shows the way towards a more dynamic interpretation, but then also recognizing some of the important limits of CSR, even in a dynamic mode, calling for engagement from the state in certain types of industrial restructuration.

Scholars have widely asserted that a firm’s manufacturing technologies must be aligned with its competitive strategy. This study tests the existence of such a strategy‐technology “fit”, determines whether good fit results in better performance, and examines the nature of fit in light of computer controlled or “advanced manufacturing technologies”. For a sample of 399 metal machining firms, a strategy‐technology alignment was found to exist and relate to higher financial performance. Advanced manufacturing technologies were found to both reinforce and alter conventional thinking about the flexibility‐efficiency tradeoff. Specific technologies were found to be uniquely bundled or combined to support specific competitive requirements.