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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 study is to advance and test the idea that product exports and technology imports are complementary cross-border learning approaches for emerging market firms’ innovation performance. In addition, this paper also seeks to search for contextual variables that affect this complementarity.

This study takes systems approach to examine complementarity, combining a “productivity” and an “adoption” approach. In addition, interaction approach is also used as robustness check.

The authors show that the positive effect of export activity on firms’ growth rate is higher for firms that also engage in technology import, and vice versa. Furthermore, they show that, Ceteris paribus, firms’ adoption of one cross-border learning mechanism (e.g. entering export markets) positively influences the adoption of the other (e.g. technology import). Moreover, this complementarity is only significant for firms from province with low level of marketization.

This inconsistency about learning-by-exporting and technology import on innovation can be resolved, at least partially, by the complementarities perspective. This paper also reveals two mechanisms of learning-by-exporting: the indirect effect of export on innovation through increasing the likelihood of adoption decision of importing technology and enhancing the positive effect of technology imports.

The potential of combining the two strategies should not be ignored by managers. To improve regional competitiveness, local governments should try best to improve the efficiency of customs to help firms realize the synergistic effect of learning-by- exporting and learning-by-technology-importing.

This study first explores the positive complementarity between the two cross-border learning mechanism in sharping EEEs 2019 innovation performance and identifies the condition to realize the synergistic effect of learning-by-exporting and learning-by-technology-importing.

The purpose of this paper is to investigate key contingencies affecting the internationalization of young ventures, and to shed light on early internationalization's implications for organizational survival and growth.

A previously suggested conceptual framework is tested based on a quantitative study of UK firms before explorative analysis takes the analysis further.

Contrary to the model suggested by Sapienza et al. that internationalization is of increasing importance at young ventures' founding stage, no such indications were found in this study. Further statistical tests revealed interesting insights into the relationship between other organizational factors and a young firm's survival and growth prospects.

The empirical results suggest that internationalization is a largely overrated theoretical factor as far as young ventures' short‐term survival and performance are concerned. As internationalization paths differ contingent upon country of origin and other factors, further empirical tests are needed beyond the UK sample.

Empirical tests of previously suggested conceptual frameworks are needed to advance the body of knowledge on successful internationalization. Next to this initial test, further exploratory analysis suggests a refined framework.

Taking departure in the premise that donor and recipient priorities differ with regard to the marginal costs and benefits associated with attacking global environmental externalities, and hence the relative importance attached to the global environment, this paper seeks to scrutinize specific global environmental transfer mechanisms in the light of proposed definitions of global environmental assistance and global environmental compensation. It is argued that most global environmental transfer mechanisms possess distinct compensatory elements, and that additionality of these transfers is essential in order to ensure that existing development assistance is not crowded out. Specifically, this should be achieved either directly through separation of funds for global environmental and local developmental purposes or indirectly through increased considerations for local development objectives directly in global environmental transfer design.

The purpose of this paper is to explore and explain how market and technological knowledge gained by executives interact in a complementary fashion to form the knowledge structure of their business model which in turn enable them to make sense of underlying complexities surrounding management of strategic courses of action.

Unitizing, categorizing, and classifying (UCC) in conjunction with pattern-matching (power and proof quotes) as qualitative methods were used to analyse a series of semi-structured interviews with eight executives from five small manufacturing firms in Australia.

It was found that executives’ business modelling knowledge structure defined as the knowledge base that underpins their business models is developed from four interactions that exist between their market and technological knowledge. Particularly, executives can learn about technological aspects of their business model from market knowledge they acquire and also learn about marketing issues of their business model from technological knowledge they acquire. This interactive nature offers novel insights into versatility and fungibility of executives’ knowledge as a strategic resource that defines how business models evolve and shows how executives use knowledge as a non-rivalrous resource in different ways for developing different business models.

This study is limited in scope to: first, the context of executive of Australian small manufacturing firms and second, limited sources of data.

This study offers important implications for business modelling and strategic formulation of practicing managers. It particularly contributes to a fuller understanding of how executives’ learning contributes to the cognitive formation of business models. It also helps executives gain new insights into the importance of various types of knowledge and the complementary nature of their interactions in the development of novel mental models as a key managerial competency in today’s dynamic markets.

The conceptual framework developed and findings reported in this study have not been previously studied and offer novel insights into the literature on knowledge-based management, competitiveness, and business modelling.

Research of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, the literature has not considered its potential contribution to creating competitive advantages. This paper aims to link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting RPA research as part of an organizational AI strategy.

This study applied a Systematic Literature Review (SRL), combining bibliometrics and content analysis. This study also built a new framework based on the updated RBV model that was transformed based on the RPA literature review results.

By bridging the two bodies of literature on RBV and RPA, this study manages to show the strategic side of the technology. Therefore, this study brought to light the most updated fundamental concepts of complementarity and scale-free fungible resources from RBV theory and AI technologies, applied to the domains of RPA, information systems and information technology (IS/IT) through the development of a new theoretical lens. Also, this study was able to elaborate on a new conceptual framework for AI strategy formulation to help organizations on their journey to AI utilization.

The authors did not find any research that has shown the strategic side of RPA, nor any that has used a theoretical lens based on the RBV theory to show this side. To the best of the author’s knowledge, this study seems to be the first to make the case for RPA's strategic potential.

Changing political landscape often renews the call for dramatic changes to federal community and economic development grant-in-aid programs. The most dramatic proposal in recent years was President Bush’s 2006 call to consolidate federal assistance programs for communities into a new block grant known as the Strengthening America’s Communities Initiative (SACI). This conceptual study reviews key characteristics of intergovernmental transfers including grant types, features, changes in the intergovernmental fiscal environment, the fungibility/flypaper debate, and the symmetry/asymmetry response of governments to declining intergovernmental revenue. The effects of intergovernmental transfers on state and local governments are connected to differences in grant design features. Potential fallout from proposed or similar changes to grant structure is discussed using the SACI proposal as an example.

This study aims to employ a resource-based lens to explore the competitive implications of firm strategies under conditions of market commonality and shared resource pools.

The firms’ core capabilities in these environments may focus on operational efficiency, as firms seek to compete under significant resource heterogeneity constraints.

Using data from the USA airline industry from 1996-2011, we find that price has a positive relationship with firm performance, whereas quality has a negative relationship. Operational efficiency is a driver of both strategies.

The study uses US data. Extending the findings to the global setting may require recognizing other competitive dimensions.

Firms that focus on non-core activities perform less well. The results offer insights into an industry that has interested strategy researchers for many years and may suggest an application to other industries with similar characteristics.

Corporate casino gambling has expanded from being legal in only two U.S. states (Nevada and New Jersey) in the late 1980s to 12 states in 2006. As a result, the annual gambling revenue realized by the casino industry has grown from $9 billion in 1991 to over $32 billion in 2006. The growth of gambling in many states has not been matched by a corresponding increase in academic research on casino gambling. To shed more light on casino gambling and state budgets, this research examines state education spending following the introduction of corporate casino gambling and attempts to answer the following question: Does gambling revenue earmarked for education spending displace funds usually spent on these programs?