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Industry descriptions often depict science‐driven industries as a single industry class, dominated by explicit knowledge in the form of patents, blueprints, diagrams, etc. This one‐dimensional view limits our ability to effectively manage the activities and routines across various stages of a science life cycle. The life cycle concept refers to the extent of development of the underlying scientific knowledge base. The knowledge in developed science fields (e.g. chemicals) is well codified, whereas in developing fields (e.g. biotechnology), it is less so. This variance creates interesting implications for innovation – product development routines will differ across developed and developing sciences. The purpose of this paper is to compare and contrast the knowledge‐ and resource‐based requirements of developed and developing science industries and the link to competitive advantage.

Based on the strategy tripod perspective, this study aims to address how emerging economy multinational enterprises (EMNEs) make a strategic decision of choosing a foreign location for their strategic asset seeking and under what mechanism EMNEs make foreign direct investment (FDI) location choice.

This paper first reviews the literature on strategy tripod and strategic asset seeking strategy of EMNEs. Then, six cases of Chinese multinational enterprises operating in manufacturing industry have been introduced, emphasizing on interactions within three dimensions of strategy tripod framework, namely, resource-based dimension, industry-based dimension and institution-based dimension. By triangulating with multiple sources of archival and interview data, this paper identified a conceptual model presenting location choice mechanisms.

Based on a comparative multi-case study, four mechanisms of EMNEs’ location choice when seek strategic asset by FDI within a strategy tripod framework have been revealed. Specifically, EMNEs make their strategic decision of choosing a foreign location for their strategic asset seeking under mechanisms of seeking complementary resources based on industry characteristics; echoing with institutional dimension of home country when exploitation of resource; matching institutional dimension of host country when consider industry fitness; and institutional leveraging combined with understanding of resource and industry dimensions inside strategy tripod.

The findings shed novel insights into the mechanisms under which EMNEs choose their location for strategic asset-seeking FDI. It also broadens the strategy tripod framework by looking deeper into the characteristics of each dimension within a new research context of EMNEs’ FDI location choice.

Drawing on the resource‐based view of the firm and the dynamic capabilities perspective, this paper sets out to argue that salespeople's selling skills and their inter‐ and intra‐unit collaborative skills are valuable, rare, socially complex, and inimitable knowledge‐based resources embedded in the human and social capital of field sales units (FSUs). Salespeople's selling and collaborative skills, both directly and interactively, should help field sales units generate greater economic rents. This paper also aims to explore the effect of salespeople's selling and collaborative skills on the level of total compensation through the mediating role of sales unit performance.

The data were obtained from a sample of managers of FSUs in 102 large Canadian organizations. The proposed model and its hypotheses were tested using hierarchical moderated regression analysis.

Collaborative skills, but not selling skills, are directly related to FSU performance; the effect of selling skills on FSU performance is strengthened by the complementary role of collaborative skills; and selling skills and collaborative skills both individually and interactively result in the payment of higher compensation to salespeople as a result of their enhanced performance.

Salespeople's selling skills and collaborative skills (both directly and interactively) not only enable the FSU to generate higher levels of performance, but they also increase individual salespeople's compensation.

It is necessary for managers to acknowledge the role of knowledge‐based resources in building/developing organizational dynamic capabilities.

This is one of the few studies that explores the strategic role of salespeople in creating a competitive advantage and links the sales management literature to the literature on the RBV of the firm and social capital/human capital theory.

The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.

This study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.

The results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.

The results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

The paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).

The model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model.

The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.

One very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author’s knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility.

The purpose of this paper is to empirically evaluate the effect of resources and capabilities in purchasing and supply management (PSM) on operational performance. Specifically, to examine whether managers who neglect investments into key knowledge‐driven PSM resources will be foregoing the opportunity for a higher performance return from their core supplier‐related capabilities.

Based on an international cross‐industry survey of 273 major companies, two conceptual models grounded in the resource‐based view (RBV) theory are analyzed for moderation and mediation effects, and provide both researchers and practitioners with means of determining targets for investment prioritization. The models are tested using multiple regression techniques and structural equation modeling.

The authors' findings suggest that the impact of supply base practices on operational performance is stronger in firms where more advanced PSM resources are deployed; and that these improvements can be explained by a higher leverage of supply base practices on advanced PSM resources.

The paper documents the combined positive effect of knowledge‐driven resources and supplier‐related capabilities on operational performance. Additional resources and capabilities, e.g. PSM integration, deserve further research. A longitudinal survey of relationships would help us to gain a better understanding of sequential relationships between the examined constructs.

This paper will help to guide senior management in balancing investment decisions for PSM development. The applied measurement model can be used to identify specific potential of improvement in individual organizations that can lead to increased operational performance.

The simultaneous consideration of moderation and mediation based on the RBV's conceptualization of resources versus capabilities provided a contribution in PSM. The results support management in maximizing the return of investments into PSM.

This paper aims to present recently published resources on library instruction and information literacy providing an introductory overview and a selected annotated bibliography of publications covering all library types.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2018.

The paper provides a brief description of all 422 sources, and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians and anyone interested as a quick reference to literature on library instruction and information literacy.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Petroleum resource-based city is an important part of urban system in China. Under the background of green growth and economic transition, petroleum resource-based city is facing the problem of sustainable development. This paper takes petroleum resources-based cities in China as the research object, and uses urban ecological planning method to analyze the basic methods of petroleum resources-based urban ecological planning and development from three aspects: establishing multi-level city circle layer, building urban ecotope and promoting urban renewal. The results show that green growth and economic transition of petroleum resources cities in China depend on government planning for urban development, including statutory planning and non-statutory planning. Petroleum resources-based cities should promote the ecological planning and development of petroleum resources-based cities in China from three aspects: optimizing the industrial structure of cities, optimizing the layout of urban functional areas and optimizing the layout of urban ecolandscape in order to adapt to green growth and economic transition.

Software-define vehicular networks (SDVN) assure the direct programmability for controlling the vehicles with improved accuracy and flexibility. In this research, the resource allocation strategy is focused on which the seek-and-destroy algorithm is implemented in the controller in such a way that an effective allocation of the resources is done based on the multi-objective function.

The purpose of this study is focuses on the resource allocation algorithm for the SDVN with the security analysis to analyse the effect of the attacks in the network. The genuine nodes in the network are granted access to the communication in the network, for which the factors such as trust, throughput, delay and packet delivery ratio are used and the algorithm used is Seek-and-Destroy optimization. Moreover, the optimal resource allocation is done using the same optimization in such a way that the network lifetime is extended.

The security analysis is undergoing in the research using the simulation of the attackers such as selective forwarding attacks, replay attacks, Sybil attacks and wormhole attacks that reveal that the replay attacks and the Sybil attacks are dangerous attacks and in future, there is a requirement for the security model, which ensures the protection against these attacks such that the network lifetime is extended for a prolonged communication. The achievement of the proposed method in the absence of the attacks is 84.8513% for the remaining nodal energy, 95.0535% for packet delivery ratio (PDR), 279.258 ms for transmission delay and 28.9572 kbps for throughput.

The seek-and-destroy algorithm is one of the swarm intelligence-based optimization designed based on the characteristics of the scroungers and defenders, which is completely novel in the area of optimizations. The diversification and intensification of the algorithm are perfectly balanced, leading to good convergence rates.