Impact of Integrated Weed Management on Cotton Producers' Earnings in Pakistan*

In Pakistan, weeds are a serious problem for the cotton–wheat cropping system, and they are causing even more damage than insects. The damage caused by weeds varies in the range of 15–30 percent. Farmers in Pakistan carry out several practices to control weeds, including hoeing, herbicide application and crop rotation. Farmers integrate different weed management practices; hence, in the present study, the multivariate probit model is used in an analysis of cotton farmers' joint decision‐making. The propensity score matching results indicate that farmers adopting integrating weed management practices have higher demand for labor, higher yields, higher household income and higher net returns from the cotton crop.     

Mapping knowledge management and organizational learning in support of organizational memory

The normative literature within the field of knowledge management has concentrated on techniques and methodologies for allowing knowledge to be codified and made available to individuals and groups within organizations. The literature on organizational learning, however, has tended to focus on aspects of knowledge that are pertinent at the macro-organizational level (i.e. the overall business). The authors attempt in this paper to address a relative void in the literature, aiming to demonstrate the inter-locking factors within an enterprise information system that relate knowledge management and organizational learning, via a model that highlights key factors within such an inter-relationship. This is achieved by extrapolating data from a manufacturing organization using a case study, with these data then modeled using a cognitive mapping technique (fuzzy cognitive mapping, FCM). The empirical enquiry explores an interpretivist view of knowledge, within an information systems evaluation (ISE) process, through the associated classification of structural, interpretive and evaluative knowledge. This is achieved by visualizing inter-relationships within the ISE decision-making approach in the case organization. A number of decision paths within the cognitive map are then identified such that a greater understanding of ISE can be sought. The authors therefore present a model that defines a relationship between knowledge management (KM) and organizational learning (OL), and highlights factors that can lead a firm to develop itself towards a learning organization.     

Assessment of technological appropriateness: The case of Indonesian rural development

It is commonly recognized at the present that technological appropriateness is not an intrinsic quality of any technology, but it derived from the surroundings (technological as well as sociocultural, politicolegal, economic, and environmental) in which it is to be utilized and the specific purpose of its application. On this basis, this paper presents two case studies for the selection of appropriate technologies for rural development in Indonesia. The first case deals with the problem of identifying a “set of appropriate technologies” to be promoted for accelerated rural development. The second case deals with the problem of selecting the “most appropriate one” among available technologies of one kind. The assessment exercises are carried out using existing methodologies and inputs (such as national priorities, assessment factors, and decision weights) from Indonesian nationals. It is shown that the analysis can provide useful guidelines for science and technology policy planning in developing countries.     

Impact of tourism on CO2 emission: evidence from Pakistan

This study investigates the carbon dioxide (CO₂) emission–tourist arrival–growth in Pakistan by taking time series data from the period of 1972 to 2013. The study applied three approaches of co-integration (autoregressive distributed lag bounds test, Johansen and Juselius and Gregory and Hansen structural break test) to confirm the valid long-run positive interaction between CO₂ emission and tourist arrivals. The robustness of cointegrating vectors is further checked using fully modified ordinary least square and dynamic ordinary least square tests and results validate the long-run coefficients. The results of variance decomposition method exhibit the uni-directional causality between CO₂ emission and tourist arrivals running from tourist arrival to CO₂ emission. It was therefore noted that policies which moderate the influence of tourism development to emission are necessary for reducing the harmful effect of tourist activities and also to increase the impact of tourism upon the economic growth. The study may guide policy-makers in formulating categorical energy and tourism development policies for sustainable growth for long periods.     

Strategic responses to extreme institutional challenges: An MNE case study in the Palestinian mobile phone sector

Besides firm-level resources and industrial influences, firms’ strategies have been related to their institutional contexts. Empirical studies have investigated survival strategies in international environments where institutional voids, barriers and violence have had independent influences.This study is the first to analyse strategies in circumstances that combine all these negative challenges. In the Palestinian mobile phone industry, a surviving MNE has faced not only violence, voids and institutional barriers imposed by three different governments, but also the liability of foreignness and its associated uncertainties.In a highly uncertain environment, it is found that being a MNE brings benefits as well as liabilities of foreignness. Furthermore, this MNE discloses many strategic responses to institutional challenges that are associated with positive outcomes, even in a most extreme Palestinian environment that produces the most propitious circumstances for negative responses and outcomes.     

Technological innovation governance for winning the future

Both developed and developing worlds today face significant economic crises. For winning their future, all countries will have to boost their capacity to innovate. Since technological innovation has now become the mantra for employment generation through growth of exported goods and to ensure sustained economic growth, current national technological innovation capacity governance policies need to be grounded on four basic pillars: (1) adopting an actionable taxonomy of technological system components utilized by enterprises operating in the fiercely competitive global marketplace; (2) relying on greater public-private partnership for targeted specialization in emerging technology industries; (3) complementing research-university-linked incubators with metropolis-based innovation hotspots; and (4) mandating a prioritized choice criteria function for technological innovation project funding. Why these pillars are important and how to strengthen national technological innovation capacity building-blocks are described in this essay on the basis of lessons learned from studies in many Asian developing countries and some developed countries of the world.     

Occupational skill attainment in Canada: the role of gender,nativity status and ethnic origin

This paper examines how ethnic origin and gender interact to shape the occupational skills attainment of native and foreign born workers in Canada. Of special interest is how the occupational profile of the foreign-born evolves over time relative to that of the native-born, by gender and ethnic origin. We estimate multinomial logit models from 1991 and 2006 census data, and then simulate occupational profiles of the native and foreign-born of different ethnic origin, controlling for human capital characteristics. We find that native and foreign-born women display the ‘glass-ceiling’ and ‘sticky-floor’ syndrome in that they are significantly underrepresented in management positions and overrepresented in clerical positions relative to men, more significantly if their education was not acquired in Canada. There is variation by ethnic origin, and all groups display significant occupational mobility over time. But even after 15?years, foreign-born occupational distributions differ substantially from those of the native-born.     

The application of Green Lean Six Sigma

Green Lean Six Sigma has been recently clarified to improve the environmental sustainability performance of operations, but it seems glaringly scarce and in need of cutting-edge studies to integrate the concepts of green, lean, and Six Sigma into one unified application. This paper is accordingly aimed at constituting the application of Green Lean Six Sigma as a cleaner production. In doing so, a Define, Measure, Analyze, Improve, and Control (DMAIC)-based approach that is one of Six Sigma's well-known methods was proposed to systematize a Green Lean tool—environmental value stream mapping. Thus, this paper as one of the preliminary studies aligns environmental value stream mapping with DMAIC through presenting the proposed methodological approach, which relies on the five DMAIC phases—Define, Measure, Analyze, Improve, and Control—and considers green wastes in each phase simultaneously. To support the narrow body of knowledge, this proposed approach was validated via the action research-oriented case study implemented in the substrate manufacturing system that seeks to develop the environmental sustainability of its production processes and subsequently its general competitiveness. The findings indicated the effectiveness of a DMAIC-based approach in systematizing environmental value stream mapping and improving its efficacy to achieve environmental sustainability. The case analysis revealed that the application can significantly lessen the consumption of chemicals and energy in the system by 28% and 21%, respectively.