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The authors aim to develop and test hypotheses that link outsourcing and subcontracting-in activities of small high-tech firms to their radical innovativeness. In addition, they seek to investigate how a firm's strategy moderates the associations between their outsourcing and subcontracting-in activities and radical innovativeness.

The authors utilized regression analytical technique and categorical moderation analytical technique to test their hypotheses on survey data of 579 firms.

Results show that outsourcing has a positive association with radical innovativeness. In contrast, subcontracting-in shows a negative association with radical innovativeness. Finally, the influence of both outsourcing and subcontracting-in activities on radical innovativeness are contingent upon a firm's manufacturing strategy.

There are potential limitations relating to the authors' use of secondary data. There is a need to investigate the processes through which outsourcing and subcontracting-in relate to innovation performance.

An implication of this study is that in order to develop radical innovativeness, firms need to consider their strategic or competitive inclination when evaluating their outsourcing and subcontracting-in decisions and activities.

There are also social implications since outsourcing and subcontracting-in activities involve social relationships.

Linking boundary spanning activities of firms to innovation performance represents a contribution to the literature. Further, establishing that the effectiveness of such boundary activities depends on a firm's specific manufacturing strategy represents a contribution.

The purpose of this paper is to empirically study the impact of product patent regime on the productivity of different categories such as ownership, R&D, size and product-wise of Indian pharmaceutical firms using non-parametric data envelopment analysis.

The present study has applied Ray and Desli’s Malmquist productivity index and its decomposition to measure total factor productivity (TFP) change, pure technical efficiency change, scale efficiency change and technical change under variable returns to scale (VRS) technology assumption for 141 Indian pharmaceutical firms during 2000-2001 to 2014-2015.

The study found the negligible impact of product patent regime on productivity. The technological change has played a positive role in the growth of productivity, whereas technical efficiency change depicts the judicious utilization of resources for improving performance. From the results, it is found that R&D intensive firms depict better stability in the TFP than the non-R&D firms. However, Granger causality between R&D and productivity found no relationship. Productivity is more directly affected by investment in fixed assets rather than in R&D, which focusses on incremental value additions in a largely branded/plain generic product market. In case of ownership, private foreign firms found to have registered progress in TFP while others have recorded marginal regress, which probably could be attributed to the superior marketing and management skills of the foreign firms, besides possessing proprietary technology. Both small and large firms have shown positive growth in the new regime as compared to the pre-patent regime. These small firms are able to compete with large firms because of their up-gradation of the technological base by improving access to better foreign technology. TFP growth for all the firms can be attributed to improvement in technology, and innovation in terms of high capital-output ratio. Further, the paper tried to identify the determinants of productivity from panel random effect regression, and it is found that export intensity, age and the new patent regime have negative and significant relationship with productivity, whereas other variables such as R&D, ownership, size and capital imports are insignificant. In the end, the results of sensitivity analysis have confirmed the validity of the selected variables.

The results suggest that Indian pharmaceutical firms need substantive improvement in TFP by improving managerial and scale efficiency. Indian pharmaceutical industry (IPI) needs to improve productivity across the network and drive cost excellence initiatives across the spend base through operational excellence and digital initiatives. The results of this paper can be applied in framing policies for future growth and improvement in the productivity of IPI.

The paper aims to make several new contributions to the existing literature. Most of the research papers only analysed TFP of the industry as a whole and detailed firm-wise analysis is needed to capture the true impact at a unit level. This study has analysed the impact of different categories such as ownership, R&D, size and product-wise, and determinants of productivity. The study has used a broader time period and larger panel data to predict the better picture.

This paper addresses a gap in task performance research, with a focus on supply chain operations, by exploring the role that defensive pessimism (DP)—a phenomenon sparsely studied in supply chain literature—has in the workplace. It investigates the roles that task complexity, perceptions of control and employee situatedness in the workplace play as predictors of DP, as well as addresses the relationship between defensive pessimism and supply chain performance.

Five hypotheses are developed and empirically tested employing the data-generating method, Monte Carlo simulation and then applying factor analysis and structural equation modeling (SEM) to survey data from practitioner members of the Council of Supply Chain Management Professionals.

The results reveal that task complexity and external locus of control heighten perceptions among employees that task completion could be outside their locus of control. The increased tendency to be defensively pessimistic about workplace commitments negatively impacts supply chain performance. This study found that task complexity and external locus of control encourage DP, negatively impacting supply chain performance (SCP).

This study explored underlying causes of defensive pessimism, a self-limiting behavior among supply chain professionals. In understanding the role of DP, it is possible to enhance SCP by managing task complexity, external locus of control and job autonomy—predictors of defensive pessimism in work commitments.

The purpose of this paper is to look at the applications of factor cost indices in the building industry in Nairobi, Kenya against the possibilities established through a review of the principles so as to establish the extent of use in practical situations in the industry. There are two organisations involved in compilation of factor cost indices in Kenya – Central Bureau of Statistics and Joint Building Council (JBC). Their practices for compilation of factor cost indices are reported in this paper.

The paper reviews the principles of factor cost index in order to establish a conceptual framework within which practices are then evaluated. The statistical bureau's compilation of building cost indices and the instructions by the JBC are considered as available evidence of application.

The paper finds that the application of factor cost index in Kenya is limited, a situation that therefore demands more research by the construction industry in Kenya.

The research's originality lies in its supportive evaluation of the application of the indicator concept in the building industry. More applications would imply greater possibilities for research and development within the case study industry.

The purpose of this paper is to investigate the direct and indirect effects of flexible working arrangements (FWAs) on return on labour (ROL).

Data from 4,204 employees and their employers were used to construct regression models to assess separately, the direct relationships between the FWAs and ROL and also the indirect relationships, with job satisfaction and staff turnover as mediating variables, applying Baron and Kenny’s (1986) mediation rules.

Flexible work hours significantly and directly increased ROL and indirectly through reduction in staff turnover, while the negative direct effect of job sharing on ROL was indirectly reduced by its positive effect on job satisfaction. Time in lieu of overtime (TOIL) and working from home reduced ROL with the direct negative effects of TOIL on ROL worsened by a reduction in job satisfaction.

The results suggest that not all FWAs increase ROL and that the direct effects of FWAs on ROL emanate from the efficacy with which work is reallocated in FWA negotiations. The indirect effects derive from employees’ reciprocation of FWAs through improved job satisfaction and turnover. The onus is therefore, on employers to maximise returns from FWAs through efficient work reallocation during negotiations.

The study makes a contribution by examining the direction of effects of FWAs on ROL and the pathways (direct and indirect) by which the effects occur. Research in this area has hitherto considered subjective and qualitative performance measures. FWAs, such as job sharing and TOIL, which are rarely considered in the literature, are covered in the study.

China and India have made significant strides in transforming their agricultural sectors to cut hunger and poverty for the masses through improved agricultural productivity. Given limited land and shift of labor to non-agricultural sector, increasing productivity will continue to be central in agricultural growth in the twenty-first century. The purpose of this paper is to provide comparative analysis of the agricultural total factor productivity (TFP) growth in the two countries. It complements existing literature by examining the evolution and drivers of TFP at disaggregated sub-national level. Richer data allows a deeper understanding of the nature and drivers of TFP growth in the two countries.

This paper applies different analytical framework to address different research questions using data since 1980. China study estimates a parametric output-based distance function using a translog stochastic frontier function. Productivity growth index and its multiple components are calculated using parameters derived from the parametric approach to identify the characteristics of technology such as structural bias. India study first applies data envelopment analysis to estimate the aggregate productivity growth index, technical change (TC), and efficiency change. Next productivity indexes by for traditional crops are estimated using growth accounting framework at state level. Finally, a panel regression links TFP on its determinants.

Several common themes emerge from this comparative study. Faced with similar challenges of limited resources and growing demand, improving productivity is the only way to meet long-term food security. Agriculture sector has performed impressively with annual TFP growth beyond 2 percent in China and between 1 and 2 percent in India since the 1980s. The TFP growth is mainly propelled by technological advance but efficiency had been stagnant or even deteriorated. This study provides a granular picture of within country heterogeneity: fast growth in the North and Northeast part of China, South and East of India.

The study suggests some possible policy interventions to improve agricultural productivity, including investment in agricultural R & D to create advanced production technology, effective extension programs and supportive policies to increase efficiency, and diversification from staple crops for sector-wide growth. The India study suggests certain policies may not be contributing much to productivity growth in the long run due to a negative impact on environment. Further studies are needed to expand the productivity analysis to take into consideration of the negative externalities to the society. Data enhancement to account for quality-adjusted inputs could improve the estimation of productivity growth.

Each country study reveals certain prospects of the agricultural sector and production technology. China analysis statistically confirms the existence of technical inefficiency and technology progress, suggests the translog form is appropriate to capture the production technology and satisfies conditions stipulated in theoretical models. The results indicate TC does not influence the contribution of output or input to the production process. India study pinpoints the lagging productivity growth of traditional crops, which still derives growth from input expansion. Although different states benefited from different crops, sector-wide productivity gain is primarily the result of diversification to high-value crops and livestock products.

The purpose of this paper is to evaluate and understand the factors that contribute to the enhancement in the process of supply chain activities, specifically among manufacturing industries.

This paper follows the quantitative approach by disseminating a structured questionnaire to supply chain practitioners working in manufacturing industries. A sample of 109 responses is gathered from senior employees involved in sales and operations planning. Exploratory and confirmatory factor analyses are performed to evaluate the reliability and validity of the model. Lastly, SmartPLS is used to test the hypotheses proposed in the study.

The findings revealed that demand sensing and managing practices positively impact supply chain performance by creating dynamic distribution capabilities. It is observed that distribution capabilities integrate both efficient and effective handling of resources. However, demand management practice has insignificant relationship with supply chain performance.

The authors suggest that supply chain management must expand in firms, and importance must be given as supply chain performance can provide competitive advantage in order to sustain in today's competitive market.

The findings can help decision-makers working in the planning process by identifying the right tools to sense the market and react accordingly.

This paper is an initial effort to understand the dynamic distribution capabilities by establishing the link with the studied variables, especially in the manufacturing industries in Pakistan.

A section of project management literature attributes overruns to estimators’ deceit and delusion. An example of this is Flyvbjerg’s theorisation of strategic misrepresentation and optimism bias. To show that such a notion is not true entirely, the study elicits evidence relating to how costs of projects often fluctuate erratically as prices of construction materials change throughout contract cycle times. The purpose of this paper is to examine the causal relationships between persistent changes in prices of construction materials and project’s outturn costs.

The authors obtained and analysed price data of construction materials published in a Nigerian national daily in the 16 years between 2000 and 2015. Additional data were obtained from a quantity surveying firm to validate the archival data on material prices, and to compare the firm’s robust database of project estimates and the corresponding outturn costs of specific building elements (detailed in the study). The goal of the analysis is to explore spontaneity and causal impact in the relationship between changes in prices of construction materials and project costs. Kolmogorov-Smirnov and Anderson-Darling tests were used to obtain the probability distributions of the causal relationships.

Findings show disproportionate positive correlations between changes in material prices and outturn costs in Nigeria. An important dimension to this, however, is that although fluctuations in material costs often trigger variations to project costs, outturn price only accounts for about one-third of actual cost variability. Recovery of costs, not least profit making, under these conditions is a complex process.

This paper concludes that dynamism in cost attributes is neither a deceit nor a delusion; understanding and tolerating them is not a systemic weakness, rather an essential key to project success and stakeholder satisfaction. Findings from the study also bring measured certainties to the transformation of variable costs into fixed price outcomes, an important consideration that will help contract estimators and project managers to understand the likelihood of fluctuation in material costs and how these might trigger variability in project costs.

This study aims to measure the intensity of innovation in the Brazilian food sector and compares it to other manufacturing sectors in the country.

The authors used economic and financial data provided by the annual survey of industry [Pesquisa Industrial Anual (PIAs), in Portuguese] and other supporting data provided by the survey of innovation [Pesquisa de Inovação (PINTEC), in Portuguese] and the classification of technology intensity (TI) proposed by the Organization for Economic Co-operation and Development. The authors subsequently applied the Malmquist index in addition to the data envelopment analysis to measure innovation.

The results reveal that the Brazilian food sector is classified as a sector with low TI and investment in research and development (R&D), which represents one of the lowest rates when compared to other sectors. Thus, the Brazilian food sector is far from achieving its full potential. Nevertheless, the authors noticed that the sugar refinery industry showed an evolution in its technology frontier and presented a frequency of innovation similar to the average of high-tech industries.

This study contributes to the debate on innovation in the food sector, emphasizing the need to accomplish higher investments in R&D to increase the productivity of the sector.

The purpose of this paper is to investigate the total factor productivity (TFP) change in the Greek cooperative banking industry over the period 2000‐2005.

The paper employs the Malmquist index and estimate two models, one based on the intermediation approach, and one based on the production approach. TFP change is disaggregated into technical efficiency change and technological change, whereas technical efficiency change is decomposed further into pure technical efficiency change and scale efficiency change.

The results are mixed. The first model indicates a small decrease (3 per cent) in TFP whereas the second model indicates an increase by 6.6 per cent. Comparing the results on the basis of banks' size finds that TFP growth is higher for smaller banks on average over the entire period of our analysis. However, this relationship between size and productivity is not robust across the years. Furthermore, the differences between the groups are not statistically significant.

The results can be of special interest to several stakeholders such as customers‐members, bank managers, local community, and of course bank regulators.

This paper is believed to be the first that examines the productivity growth of Greek cooperative banks.