scholarly journals Who is quitting? An analysis of the dis-adoption of climate smart sorghum varieties in Tanzania

Author(s):  
Franklin Simtowe ◽  
Kai Mausch

Purpose New agricultural technologies are continuously generated and promoted for adoption by farmers with the expectation that they bring about higher benefits than older technologies. Yet, depending on the perceived benefits, the user of the technology may choose to stop using it. This paper aims to analyze what drives farmers to dis-adopt climate smart sorghum varieties in Tanzania. Design/methodology/approach The study uses cross-sectional farm household level data collected in Tanzania from a sample of 767 households. The determinants of dis-adoption are explored using a bivariate probit with sample selection model. Findings The authors find that while farmers switch between different sorghum varieties, most farmers actually quit sorghum production. Older farmers and those facing biotic stresses such attacks by birds are more likely to dis-adopt sorghum. Practical implications These findings suggest that there is scope for improving and sustaining the adoption of sorghum varieties in Tanzania once extension services are strengthened. The findings also point to a well-founded theory on the role of markets in enhancing the overall sustainability of food systems. Social implications The study findings have broader implications for understanding the sustainability of improved technology adoption Originality/value Dis-adoption is also positively associated with the lack of access to markets underscoring the role of markets in enhancing the overall sustainability of technology adoption and food systems.

2020 ◽  
Vol 20 (4) ◽  
pp. 377-401 ◽  
Author(s):  
Carmela Di Mauro ◽  
Alessandro Ancarani ◽  
Tara Hartley

Purpose This paper aims to investigate the role of micro, small and medium enterprises (MSMEs) within the Canadian public procurement, by seeking to identify barriers and supporting factors of MSMEs’ participation and success in public tenders. Design/methodology/approach The empirical analysis builds on a unique survey run by the Canadian federal government, which addressed firms either participating or not participating in public tenders. Model estimation on the survey data relies on sample selection methodologies, which allow separating determinants of MSMEs’ decision to participate from determinants of success. Findings Results provide evidence that costs stemming from asset specificity and uncertainty (e.g. costs of bidding, requirements for participation, bundling of contracts and award rules based on minimum price) affect participation in public procurement. Within MSMEs, micro-firms are the most discouraged from participating. However, after controlling for factors affecting participation, micro-firms emerge as having a higher success rate, possibly because of high specialization and joint participation with larger firms. Research limitations/implications Because of the cross-sectional nature of the data used for hypotheses testing, endogeneity may arise if ex post variables affect ex ante decisions. This may apply if participation in procurement feeds on success in past tenders. Social implications Findings may inform policies for the inclusion of smaller firms in the public marketplace. Originality/value To the best of the authors’ knowledge, this study is the first attempting to disentangle determinants of participation in public tenders from determinants of success. Separating the two aspects helps fine-tune SME-friendly public procurement policies, by identifying actions that effectively facilitate success of MSMEs in public tenders.


2019 ◽  
Vol 6 (04) ◽  
Author(s):  
M S MEENA ◽  
R B KALE ◽  
S K SINGH ◽  
A K SINGH

A study was undertaken in collaboration with eight Krishi Vigyan Kendras (KVKs) and five Learning and Experience based Advisor (LEAD) farmers were selected by each KVK, employing socio-metric technique. Hence, data were solicited from 40 LEAD farmers from eight districts who were trained by KVKs. Role of KVKs were determined based on their Index Value (IV). Study reveals that KVKs played an important role in skill development of LEAD farmers through organisation of need based and skill-oriented trainings (IV=62) followed by front-line demonstrations on location specific agricultural technologies at farmers’ fields (IV=59.42), and developing linkages between LEAD and fellow farmers (IV=58.33). Key determinants accountable for enhancing effectiveness of this model were enhanced technology adoption (IV=60.13) followed by enhanced agricultural production (IV=57.48) and productivity (IV=57.10). Study reveals that one LEAD farmer adopted 5 agricultural technologies from KVKs. Further, fellow farmers adopted 2 agricultural technologies from LEAD farmers. Hence, it was concluded that this approach may play a significant role in complementing Indian public extension system through reducing cost and coverage of more farm families. This model needs community as well as government support for sustainability and its scalability.


2020 ◽  
Vol 54 (8) ◽  
pp. 1963-1986
Author(s):  
Tilottama G. Chowdhury ◽  
Feisal Murshed

Purpose This paper proposes that categorization flexibility, operationalized as the cognitive capacity that cross-categorizes products in multiple situational categories across multiple domains, might favorably influence a consumer’s evaluation of unconventional options. Design/methodology/approach Experimental research design is used to test the theory. An exploratory study first establishes the effect of categorization flexibility in a non-food domain. Study 1 documents the moderating role of decision domain, showing that the effect works only under low- (vs high-) consequence domain. Studies 2A and 2B further refine the notion by showing that individuals can be primed in a relatively higher categorization flexibility frame of mind. Study 3 demonstrates the interactive effect of categorization flexibility and adventure priming in a high-consequence domain. Study 4 integrates the interactive effects of decisions with low- vs high-consequence, adventure priming and categorization flexibility within a single decision domain of high consequence. Findings Consumers with higher- (vs lower-) categorization flexibility tend to opt for unconventional choices when the decision domain entails low consequences, whereas such a result does not hold under decision domain of high consequences. The categorization flexibility effects in case of low-consequence decision domain holds true even when consumers are primed to be categorization flexible. Furthermore, with additional adventure priming, consumers show an increased preference for unconventional options even under a decision domain with high consequence. Research limitations/implications This study could not examine real purchase behavior as results are based on cross-sectional, behavioral intention data. In addition, it did not examine the underlying reason for presence of cross-domain categorization flexibility index. Practical implications The results suggest that stimuli may be tailored to consumers in ways that increase the salience and the perceived attractiveness of unconventional choices. Further, data reinforce the notion of cross-categorical interrelations among different domains, which could be leveraged by marketers. Originality/value This study represents the first documentation of the potential ways by which unconventional product choice might be a function of individuals’ categorization flexibility level across different types of decision domains. The findings yield implications that are novel to both categorization and consumer decision-making literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Junça Silva ◽  
Cannanda Lopes

PurposeThis study aimed to (1) analyze whether the perceived organizational support (POS) was a significant predictor of performance and stress and (2) explore the mediating role of engagement in these relations.Design/methodology/approachTo test the hypotheses, the authors collected data with 200 working adults in a mandatory quarantine due to COVID-19 pandemic crisis.FindingsThe results showed that the POS contributed to increase engagement, and consequently, job performance. These relations also proved to be significant for stress, because when the POS increased, the work engagement also increased, and as a result decreased occupational stress.Research limitations/implicationsThis study relied on a cross-sectional design. Therefore, future research should consider a daily design to replicate this study and analyze daily fluctuations. Overall, the authors can conclude that work engagement is an affective process through which POS decreases stress and increases performance.Originality/valueThis study tests the mediating effect of work engagement on the link between POS, stress and performance, and its theoretical and practical implications of these findings are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Ju ◽  
Jingjing Yao ◽  
Li Ma

PurposeJob involvement is an important predictor of how well employees perform and feel at work. However, despite fruitful findings, little is known about how person–job (P–J) fit affects job involvement.Design/methodology/approachThis study used a cross-sectional design and collected data from 375 employees and 50 managers. Multivariate regression was applied to test the moderated curvilinear model.FindingsThis study found an inverted U-shaped relationship between P–J fit and job involvement. For employees with a strong performance goal orientation, maximum job involvement occurred at a higher level of P–J fit, whereas for employees with a strong learning goal orientation, maximum job involvement occurred at a moderate level of P–J fit.Practical implicationsManagers should be aware that solely maximizing fit may not constantly yield positive outcomes, and that ignoring differences in employee needs and goals may be counterproductive.Originality/valueThe study challenges the conventional wisdom that a high P–J fit is always productive by showing that a high fit may sometimes jeopardize job involvement, particularly for certain employees.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abraham Gyamfi Ababio ◽  
Arthur Gnonsio Mangueye

Purpose Improving tax compliance would drive the needed development in Ghana. Small and medium scale enterprises (SME) constitute a sizable proportion of the Ghanaian economy but its contribution to tax revenue is below expectation. This study aims to determine whether SME's perception of state legitimacy affects tax compliance. Design/methodology/approach A structured questionnaire was administered to 200 SMEs randomly drawn from Dodowa in the Shai-Osudoku District of Greater Accra Region. Descriptive statistics and the Probit model with sample selection were used to analyse the data. Findings The study found that SME's perception of government legitimacy exerts a significant negative effect on reducing profit to avoid tax liability (ß = −0.0305, p < 0.05). Other factors such as education and fear of fines and penalties were also found to reduce the likelihood that the firm would reduce profit to avoid high tax liability. Still, tax knowledge had a positive effect on this behaviour. Practical implications This study would help deepen policymakers' knowledge of how to improve tax compliance among SMEs in Ghana. Originality/value The originality of this work is that it explicitly models the role of fiscal exchange theory in explaining tax compliance among SMEs in Ghana by using robust methodology.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlos Flavián ◽  
Alfredo Pérez-Rueda ◽  
Daniel Belanche ◽  
Luis V. Casaló

PurposeThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by artificial intelligence (AI) suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.Design/methodology/approachThe automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by AI suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.FindingsThe results indicated that customers' technological optimism increases, and insecurity decreases, their intention to use robo-advisors. Surprisingly, feelings of technological discomfort positively influenced robo-advisor adoption. This interesting finding challenges previous insights into technology adoption and value co-creation as analytical AI puts customers into a very passive role and reduces barriers to technology adoption. The research also analyzes how consumers become aware of robo-advisors, and how this influences their acceptance.Originality/valueThis is the first study to analyze the role of customers' technology readiness in the adoption of analytical AI. The authors link the findings to previous technology adoption and automated services' literature and provide specific managerial implications and avenues for further research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Natalie Merinuk ◽  
Stephanie C. Varcoe ◽  
Peter J. Kelly ◽  
Laura D. Robinson

Purpose Substance use disorder (SUD) frequently co-occurs with other psychological conditions, such as eating disorders (EDs). Psychological factors such as emotional dysregulation, rash impulsivity (RI) and reward sensitivity (RS) play a role in the etiology of each disorder, yet little is known about the combined effects of these on comorbid SUDs and EDs or disordered eating behaviours (DEBs). This study aims to examine the role of these psychological factors in comorbid DEBs and SUDs among individuals in treatment for SUDs. The role of gender is tested as a moderator. Design/methodology/approach A cross-sectional self-report survey was completed by 131 participants attending Australian residential substance use treatment centres. A binomial logistic regression analysis was performed to examine the effects of emotional dysregulation, RI and RS on comorbid DEB and SUD. Further, moderation analyses were used to examine the moderating effect for gender on the relationship between these three personality variables and comorbidity. Findings The most commonly reported primary substance of use was alcohol (43.5%), followed by amphetamines (38.6%). Findings showed that emotional dysregulation and RI were significantly related to an increase in comorbidity likelihood; however, RS was not. Gender moderated the relationship between comorbidity and RI only. Originality/value The significant positive relationship found between RI and comorbidity for females only was a novel finding for the current study. Further research is needed to develop an understanding of the etiology of comorbidity.


2019 ◽  
Vol 22 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Betül Sönmez ◽  
Aytolan Yıldırım

PurposeThe purpose of this paper is to test the mediating role of autonomy in the effect of a pro-innovation organizational climate and supervisor supportiveness (SS) on the innovative behavior (IB) of nurses.Design/methodology/approachThe sample of this cross-sectional, correlational study consisted of 332 nurses, who were selected, on the basis of the convenience sampling method, from among the nurses working at two public university hospitals in Istanbul. The data of the study were collected between February and May of 2015. Descriptive analysis and linear regression analysis were used for data analysis, and the bootstrapping method was applied to test the significance of the mediating role.FindingsThe model used for examining the mediating role of autonomy was found to be statistically significant, as it explained 36 percent of the variance of IB. When the significance of the mediating role was tested, its effect on both innovation climate and SS was observed to be significant.Originality/valueThe obtained results indicated that a pro-innovation organizational climate and SS functioned as premises for autonomy. In turn, the rise in autonomy level that served to innovative climate and SS increased the IB of the nurses through boosting their autonomy level. From these results, it can be argued that nurses with a high level of professional autonomy can create innovative outputs and provide added value through the IB they practice in providing patient care and general health services.


2016 ◽  
Vol 76 (4) ◽  
pp. 494-511 ◽  
Author(s):  
Abdul-Hanan Abdallah

Purpose The purpose of this paper is to investigate factors affecting the adoption of agricultural technologies in Sub-Saharan Africa, specifically the role of credit market inefficiency in adoption of agricultural technologies in the region. Design/methodology/approach Most importantly, the paper applies a 2SLS model on a unique data set on nine agrarian countries from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to provide evidence on how credit market inefficiency affects adoption of technologies in the sub region. Findings The study finds that the relationship between credit and technology adoption is one-way causal relation (i.e. credit access leads to technology adoption) as opposed to a two-way relation (i.e. mutual dependent relation). Further, the results indicate that credit market inefficiency can be a major barrier to the adoption of yield enhancing technologies in Sub-Saharan Africa. Further, the study showed mixed results for household variables. The results give credence to studies that highlight the importance of infrastructure and risk control in the adoption of new technologies. Research limitations/implications The study is limited to only nine countries in Sub-Saharan Africa. Thus, the findings and interpretations should be considered as such. Further, there is the need for further research that considers all the region so as to establish whether or not there is a relationship between credit market inefficiencies and technology adoption in the region. Practical implications The policy implication is that microfinance institutions should consider scaling up their credit services to ensure that more households benefit from it, and in so doing technology adoption will be enhanced. Originality/value The main contribution of the study lies in its use of a unique data set from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to investigation relationship between credit market inefficiency and technology adoption.


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