Lake Urmia restoration success story: A natural trend or a planned remedy?

Lake Urmia is the second-largest hypersaline lake in the world. There has been a drastic water level drop of 7.2 m from 1995 to 2016. Beginning in October 2013, the Lake Urmia Restoration Plan (LURP) launched a 10-year program. An increase in water level and a relative improvement in Lake Urmia condition has been observed since 2017. It is an undecided and controversial issue whether the recent positive trend of Lake Urmia has been due to the LURP activities or it is a natural contribution of climate factors variations. To shed some light on this issue, we examine three other lakes, adjacent to the Lake Urmia basin, with similar rainfall variability to investigate their status during the same period. Van (Turkey), Mosul, and Tharthar (both in Iraq), are evaluated as well as Lake Urmia. Three decades of remotely sensed data including precipitation ($P$), water level ($\mathit{WL}$), and lake extent ($A$) were considered for the mentioned lakes. A significant correlation was observed between standardized $\mathit{WL}-P$, and $A-P$ over the long-term period, especially for the recent three years ($R$² = 0.63–0.87). We show that the cumulative precipitation in the antecedent months played a major role in the improvement of these lakes' situation but with different time lags (up to 6 months for Van and Mosul lakes and up to 36 months for Lake Urmia and Tharthar lake). These findings could inform the planners of LURP to adopt strategies for achieving a sustainable state of Lake Urmia based on a more realistic outlook.     

Product rejuvenation strategies

If you had just kept it a little longer, that old suit would have come back into style and, with a few alterations, you could have worn it again. Likewise, most companies have quite a few abandoned products which might need only a few alterations to make them marketable again.     

Reactions to abusive supervision: examining the roles of emotions and gender in the USA

Abusive supervision leads to many detrimental outcomes, yet the role of gender and emotions has received little attention. We applied affective events theory to study emotions in a new context. Using qualitative and quantitative methods, we tested a conditional process model of the effects of abusive supervision on subordinate work and job withdrawal as mediated by negative emotions and moderated by gender. We found support for our proposed model. Specifically, abusive supervision increased work and job withdrawal via victims’ negative emotional reactions. When negative emotions are low, women are more likely to engage in work withdrawal; when negative emotions are high, men are more likely to do so. Additionally, men experiencing high negative emotions are likely to quit their job.     

Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

Organisational, technical and data quality factors in CRM adoption — SMEs perspective

Like large organisations, many Small and Medium-sized Enterprises (SMEs) have implemented Customer Relationship Management (CRM), so that they can compete effectively in today's highly changeable economic and market climate. However, studies indicate that there are mixed results as to how successful SMEs have been in adopting CRM solutions. It is also reported in the literature that CRM implementation is influenced by issues that relate to organisational, technical and data quality factors. To this end, there is limited research conducted in this area which mainly focuses on including these dimension in the evaluation of factors that influence CRM adoption in the SME sector. In seeking to address this issue, this research uses an investigative study aimed at identifying the organisational, technical and data quality related factors influencing CRM adoption by SMEs. This will enhance the quality of the evaluation process, and help support SME decision makers in exploring the implications surrounding CRM adoption. The findings of this study confirm that factors affecting the adoption of CRM in SMEs are largely similar to the factors affecting CRM adoption in previously studied other types of organisations.     

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.     

The evolving role of agricultural technology indicators and economic growth in rural poverty: has the ideas machine broken down?

The objective of the study is to examine the impact of technical progress in agriculture on changes in rural poverty in Pakistan by using annual data from 1975–2011. Data is analyzed by the set of sophisticated econometric techniques i.e., cointegration theory, Granger causality test and variance decomposition, etc. The results reveal that agricultural technology indicators act as an important driver to alleviate rural poverty in Pakistan. Granger causality test indicate that causality runs from technological indicators to rural poverty but not vice versa. However, agricultural irrigated land and industry value added, both does not Granger cause rural poverty, which holds neutrality hypothesis between the variables. Variance decomposition analysis shows that among all the technological indicators, agricultural machinery in form of tractors have exerts the largest contribution to changes in rural poverty in Pakistan. The study concludes that agricultural technology indicators are closely associated with economic growth and rural poverty in Pakistan. Technology in Pakistan has a low pace but still old technology continuously contributed towards poverty reduction. The question whether idea machine is broken down or not? Still need further exploration.     

The conceptions about managing coordination in Iranian governmental machinery: a Q methodology study

Alignment among governmental organizations is one of the major national concerns in all political systems. The origin of this concern is the weakness of “horizontal management” which refers to horizontal coordination among all organization that exercise national governance. One of the important influences on horizontal management is the attitudes and perceptions of governing elites. This paper focuses on perceptions of barriers to coordination in government among public administrators, programming elites, politicians and academics involved in the government system. The authors use the inductive research technique Q-methodology, which is a research method used to study people’s “subjectivity”, to investigate the views of of 50 members of the governing elite about barriers to coordination of the Iranian government web. The results show that these elite members have seven distinct conceptions about managing coordination in government which are based on how they perceive these barriers. The authors labeled these conceptions as: goal-orientation, unification-orientation, policy-orientation, reality-orientation, equilibrium-orientation, performance-orientation and architecture-orientation. The seven conceptions are examined in more details and are interpreted based on existing theories in the final section of this paper.