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1 – 10 of over 295000We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply…
Abstract
Purpose
We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.
Design/methodology/approach
We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.
Findings
Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.
Research limitations/implications
The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.
Originality/value
This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.
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It is shown in Chou (2005). Journal of Money, Credit and Banking, 37, 561–582that the range can be used as a measure of volatility and the conditional autoregressive range (CARR…
Abstract
It is shown in Chou (2005). Journal of Money, Credit and Banking, 37, 561–582that the range can be used as a measure of volatility and the conditional autoregressive range (CARR) model performs better than generalized auto regressive conditional heteroskedasticity (GARCH) in forecasting volatilities of S&P 500 stock index. In this paper, we allow separate dynamic structures for the upward and downward ranges of asset prices to account for asymmetric behaviors in the financial market. The types of asymmetry include the trending behavior, weekday seasonality, interaction of the first two conditional moments via leverage effects, risk premiums, and volatility feedbacks. The return of the open to the max of the period is used as a measure of the upward and the downward range is defined likewise. We use the quasi-maximum likelihood estimation (QMLE) for parameter estimation. Empirical results using S&P 500 daily and weekly frequencies provide consistent evidences supporting the asymmetry in the US stock market over the period 1962/01/01–2000/08/25. The asymmetric range model also provides sharper volatility forecasts than the symmetric range model.
Saad Haj Bakry and Zeyad Haj Bakry
From Europe moving forward into Asia, the Silk Road has the Gulf Cooperation Countries (GCC) on the way. These countries alphabetically include: “Bahrain, Kuwait, Oman, Qatar…
Abstract
From Europe moving forward into Asia, the Silk Road has the Gulf Cooperation Countries (GCC) on the way. These countries alphabetically include: “Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates.” While these countries have long been dependent on oil for development, they are currently planning to reduce this dependence and consider innovation as an important mean for future development. This chapter explores the past progress of innovation in the GCC countries; and highlights future directions ahead. In this respect two end countries of the Silk Road, Italy and China, are also considered. The chapter views innovation from the wide angle of the Global Innovation Index, which has 7 main dimensions, consisting of 21 sub-dimensions, which are refined into 81 international indicators. An approach for looking into the current state, the past progress, and the future directions of innovation in the countries concerned is developed and followed using available data. Although the outcome is based on the currently available data, the approach can be re-used for newer data providing continuous benefits to directing future development.
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In this paper we examine some fundamental epistemological issues in building theory for applied management science, by which we mean theory that can be usefully applied in a…
Abstract
In this paper we examine some fundamental epistemological issues in building theory for applied management science, by which we mean theory that can be usefully applied in a scientific approach to management research and practice. We first define and distinguish “grand theory” from “mid-range theory” in the social and management sciences. We then elaborate and contrast epistemologies for (i) building “grand theory” intended to be applicable to all cases and contexts, and (ii) building “mid-range theory” intended to apply to specific kinds of contexts. We illustrate the epistemological challenges in building grand theory in management science by considering important differences in the abilities of two “grand theories” in strategic management – industry structure theory and firm resources theory – to support development of conceptually consistent models and propositions for empirical testing, theoretical refinement, and application in management practice. We then suggest how a mid-range theory building approach can help to achieve integration of the two grand strategic management theories and improve their ability to support empirical testing, theory refinement, and application of theory in practice. Finally, we suggest how the competence-based management (CBM) perspective provides the foundational concepts needed to build both mid-range theory and (potentially) grand theory in strategic management that can be usefully applied in management science.
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Martin Utley, David Patterson and Steve Gallivan
To assess the quality of anticoagulation control at an out‐patient clinic and to investigate patterns of deviation from therapeutic ranges.
Abstract
Purpose
To assess the quality of anticoagulation control at an out‐patient clinic and to investigate patterns of deviation from therapeutic ranges.
Design/methodology/approach
Records for 36,157 clinic visits (2,050 patients) were studied. The quality of anticoagulation control was assessed by comparing the measurement of pro‐thrombin time recorded at each clinic visit, expressed as an international normalised ratio (INR), with the target therapeutic range for that patient, also recorded at the time of the clinic visit. Each INR measurement was classified according to the relevant patient's therapeutic range and the signed difference between the INR measurement and the centre of the therapeutic range was calculated. For each patient the percentage of their INR measurements that lay within their therapeutic range was calculated.
Findings
Of the measurements, 52.3 per cent were within the relevant therapeutic range. The proportion of individual patients' INR measurements within range varied greatly (median 52 per cent, inter‐quartile range 40‐65 per cent). The quality of anticoagulation control, as measured by the proportion of patients within their therapeutic range, changed little with patient follow‐up time.
Originality/value
The quality of anticoagulation control reported is comparable with that at other centres. The vast majority of patients spend periods outside the therapeutic range for their condition. There may be considerable room for improvement.
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Neale J. Slack, Shavneet Sharma, Juraj Cúg and Gurmeet Singh
Little is known about the external stimuli, which trigger a change in a consumer's cognitive and affective state and lead to a consumer's willingness to pay a premium price…
Abstract
Purpose
Little is known about the external stimuli, which trigger a change in a consumer's cognitive and affective state and lead to a consumer's willingness to pay a premium price (WTPPP) behavioural response. This study aims to close this knowledge gap by providing insight into how a unique combination of antecedents affects consumer attitude toward purchasing free-range eggs and leads to a behavioural response, which is measured by consumer WTPPP for free-range eggs.
Design/methodology/approach
An online questionnaire was developed, with data collected from 392 Australian consumers. This study employs confirmatory factor analysis (CFA) to examine the measurement model before testing the hypothesised relationships using covariance-based structural equation modelling (CB-SEM).
Findings
The study reveals that the tested customer perceived value (CPV) dimensions, animal welfare and source credibility are positive stimuli of consumer attitude towards purchasing free-range eggs, which subsequently promotes consumer WTPPP for free-range eggs.
Research limitations/implications
Findings drawn from Australian consumers may not be generalisable to consumers from disparate contexts, and stimuli beyond those tested may influence consumer attitude and WTPPP.
Originality/value
This is one of the first studies to use the stimulus–organism–response (SOR) theory to investigate and contribute to extant knowledge and understanding of consumer behaviour relating to free-range eggs and specifically of consumer attitude towards purchasing and WTPPP for free-range eggs. This study offers practical implications for free-range egg farmers, retailers and policymakers.
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