Purpose: Innovation capability is a growing and significant area of academic research. However, there is little attempt to provide a cumulative overview of this phenomenon. The purpose of this systematic review is to synthesize peer reviewed articles published in the area to develop a conceptual framework and to aid future research. Design/Methodology/Approach: The paper adopted a systematic review of literature on innovation capability. The final screening generated 51 articles from 30 journals from 2000-2015. Findings: The examination and synthesis of the theoretical and the empirical articles show that (1) the authors applied narrow range of conceptual and theoretical foundations; (2) innovation capability is being investigated mostly at the firm level for about 90% of the articles, and marginally about 5% at network (supply) chain level; (3) the authors define innovation capability in different ways and use diverse set of dimensions to measure innovation capability; (4) there is potential for future research across firms in innovation management disciplines. Practical implications: The review contributes to theory development in organizational capability literature in general. Managers wishing to innovate need to examine critically and integrate some of the innovation capability dimensions proposed in this paper. Originality: The review is unique in the sense that it provides conceptualisation of innovation capability framework.

Purpose The purpose of this paper is to explore the development of innovation capability construct measures in the context of supply chain and to objectively identify the key dimensions for stimulating focal firms’ innovativeness. Design/methodology/approach The scale items for this research were obtained from extant literature. The data were collected from homogenous sample of 117 Ghanaian middle level managers (respondents). Exploratory factor analysis was used to identify the main dimensions of innovation capability. Based on the statistical analysis, four dimensions were obtained – idea management, idea implementation, collaboration and learning – and the convergent validity, discriminant validity, nomological validity and reliability tests indicate that the scales are valid and reliable Findings Four dimensions (factors) of innovation capability were identified from the exploratory factor analysis. These dimensions were labelled as idea management, idea implementation, collaboration and learning. The results indicate that the integration of the dimensions of innovation capability may stimulate a focal firm’s innovativeness. Research limitations/implications First, the measurement scale might not capture all the important dimensions of innovation capability. Second, the judgmental sampling used in this study means that the result cannot be generalised to the entire supply chain population, third, the sample was drawn from one geographical location using non-probability sampling technique. Practical implications The measures provide supply chain managers with a better approach of understanding the innovation capability in their supply chain. For instance, the measurement of supply chain’s innovation capability should help supply chain managers to determine the important innovation areas that need attention most and to permit them to respond to challenges posed by any kind of innovation capability dimension that needs to be enhanced. Originality/value The unique contribution of this paper is the development innovation capability measurement scale in the context of supply chain.

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The purpose of this research is to investigate the perceived barriers to adoption of mobile banking among consumers, and to assess whether the usage of M-Banking is constraint on the basis of different demographic characteristics such as age, income level, mobile phone usage "experience" and marital status. Data were collected using convenient sampling via selfadministered questionnaire in a large university in the Ashanti region of Ghana. A total of usable 189 responses were collected from non-users of mobile banking and retained for analysis using SPSS version 16. The main reasons for rejecting M-Banking were explored using simple descriptive analysis, while chi-square tests were used to assess differences between socio-demographic variables and the rejection factors. The result indicates that majority of respondents do not use any kind of mobile banking service. The four main reasons for rejecting M-Banking were: M-banking requires knowledge and learning; M-banking attract additional banking charges; poor telecommunication network; consumer preference for traditional means of banking instead of mobile enabled banking services. The practical implications of this research is the revealing of the main barriers to Mobile banking adoption and suggesting of appropriate marketing strategies to overcome the obstacles to mobile banking adoption.

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