Intention of smallholder maize farmers to adopt integrated pest management practices for fall armyworm control in the Upper East region of Ghana

[1]  M. Lamoree,et al.  Pesticide use and practice of local farmers in the Central Rift Valley (CRV) of Ethiopia: implications for the environment and health hazards , 2022, International Journal of Pest Management.

[2]  F. Ibrahim,et al.  Understanding forest land conversion for agriculture in a developing country context: An application of the theory of planned behaviour among a cohort of Nigerian farmers , 2022, Folia Forestalia Polonica.

[3]  Y. Beyene,et al.  Genomic Analysis of Resistance to Fall Armyworm (Spodoptera frugiperda) in CIMMYT Maize Lines , 2022, Genes.

[4]  Henri E. Z. Tonnang,et al.  Potential distribution of fall armyworm in Africa and beyond, considering climate change and irrigation patterns , 2021, Scientific reports.

[5]  Rambabu Lavuri Extending the theory of planned behavior: factors fostering millennials’ intention to purchase eco-sustainable products in an emerging market , 2021, Journal of Environmental Planning and Management.

[6]  B. T. Anang,et al.  Drivers of adoption of crop protection and soil fertility management practices among smallholder soybean farmers in Tolon district of Ghana , 2021, Heliyon.

[7]  S. Raghu,et al.  Determinants of rice farmers’ intention to use pesticides in eastern India: Application of an extended version of the planned behavior theory , 2021 .

[8]  C. Damalas Farmers’ intention to reduce pesticide use: the role of perceived risk of loss in the model of the planned behavior theory , 2021, Environmental Science and Pollution Research.

[9]  C. A. Damalas,et al.  Farmers' behavior towards safe pesticide handling: An analysis with the theory of planned behavior. , 2020, The Science of the total environment.

[10]  M. Osae,et al.  Maize Infestation of Fall Armyworm (Lepidoptera: Noctuidae) Within Agro-Ecological Zones of Togo and Ghana in West Africa 3 Yr After Its Invasion , 2020, Environmental Entomology.

[11]  P. Paillé,et al.  Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review , 2020, Resources, Conservation and Recycling.

[12]  Jacob J. Coutts,et al.  Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But… , 2020 .

[13]  Karolin Schmidt Predicting the consumption of expired food by an extended Theory of Planned Behavior , 2019 .

[14]  M. Karbasioun,et al.  Pesticide exposure reduction: Extending the theory of planned behavior to understand Iranian farmers’ intention to apply personal protective equipment , 2019 .

[15]  C. A. Damalas,et al.  Modeling farmers' intention to use pesticides: An expanded version of the theory of planned behavior. , 2019, Journal of environmental management.

[16]  M. Keshavarz,et al.  What influences farmers' intentions to conserve on-farm biodiversity? An application of the theory of planned behavior in fars province, Iran , 2019, Global Ecology and Conservation.

[17]  Anna D. Rowe,et al.  Enabling the Transfer of Skills and Knowledge across Classroom and Work Contexts , 2019, Vocations and Learning.

[18]  G. Cicia,et al.  Explaining consumer purchase behavior for organic milk: Including trust and green self-identity within the theory of planned behavior , 2019, Food Quality and Preference.

[19]  J. Hao,et al.  Surfactant-assistant atmospheric acid leaching of laterite ore for the improvement of leaching efficiency of nickel and cobalt , 2019, Journal of Cleaner Production.

[20]  M. Akbari,et al.  An extended model of Theory of Planned Behavior to investigate highly-educated iranian consumers’ intentions towards consuming genetically modified foods , 2019, Journal of Cleaner Production.

[21]  S. Ekesi,et al.  Ovicidal effects of entomopathogenic fungal isolates on the invasive Fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) , 2019, Journal of Applied Entomology.

[22]  A. Barnes,et al.  Understanding farmers’ intentions to follow a nutrient management plan using the theory of planned behaviour , 2019, Land Use Policy.

[23]  Gaihe Yang,et al.  Analysis of the environmental behavior of farmers for non-point source pollution control and management: An integration of the theory of planned behavior and the protection motivation theory. , 2019, Journal of environmental management.

[24]  T. Tefera,et al.  The Efficacy of Selected Synthetic Insecticides and Botanicals against Fall Armyworm, Spodoptera frugiperda, in Maize , 2019, Insects.

[25]  T. Tefera,et al.  Farmers' knowledge, perceptions, and management practices of the new invasive pest, fall armyworm (Spodoptera frugiperda) in Ethiopia and Kenya , 2019 .

[26]  M. Allahyari,et al.  Use of personal protective equipment towards pesticide exposure: Farmers' attitudes and determinants of behavior. , 2018, The Science of the total environment.

[27]  M. Tamò,et al.  Measurement of Pesticide Residues from Chemical Control of the Invasive Spodoptera frugiperda (Lepidoptera: Noctuidae) in a Maize Experimental Field in Mokwa, Nigeria , 2018, International journal of environmental research and public health.

[28]  U. Kesmodel Cross‐sectional studies – what are they good for? , 2018, Acta obstetricia et gynecologica Scandinavica.

[29]  J. Pickett,et al.  A climate-adapted push-pull system effectively controls fall armyworm, Spodoptera frugiperda (J E Smith), in maize in East Africa , 2018 .

[30]  Sarah P. Church,et al.  Toward a theory of farmer conservation attitudes: Dual interests and willingness to take action to protect water quality , 2017 .

[31]  M. Bateman,et al.  Fall armyworm: impacts and implications for Africa. , 2017 .

[32]  Christos A. Damalas,et al.  Predicting adoption of biological control among Iranian rice farmers: An application of the extended technology acceptance model (TAM2) , 2017 .

[33]  J. R. Borges,et al.  Using the theory of planned behavior to understand the intention of small farmers in diversifying their agricultural production , 2017 .

[34]  M. Tamò,et al.  First Report of Outbreaks of the Fall Armyworm Spodoptera frugiperda (J E Smith) (Lepidoptera, Noctuidae), a New Alien Invasive Pest in West and Central Africa , 2016, PloS one.

[35]  Seline S. Meijer,et al.  Tree planting by smallholder farmers in Malawi: Using the theory of planned behaviour to examine the relationship between attitudes and behaviour , 2015 .

[36]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[37]  A. Datta,et al.  Factors determining adoption of integrated pest management by vegetable growers in Nakhon Ratchasima Province, Thailand , 2014 .

[38]  F. Sniehotta,et al.  Time to retire the theory of planned behaviour , 2014, Health psychology review.

[39]  Fatma Noyan,et al.  McDonald's ωt, Cronbach's α, and Generalized θ for Composite Reliability of Common Factors Structures , 2013, Commun. Stat. Simul. Comput..

[40]  P. Sheeran,et al.  Some feelings are more important: cognitive attitudes, affective attitudes, anticipated affect, and blood donation. , 2013, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[41]  F. Celette,et al.  Agroecological practices for sustainable agriculture. A review , 2013, Agronomy for Sustainable Development.

[42]  D. Menozzi,et al.  Fruit consumption determinants among young adults in Italy: A case study , 2012 .

[43]  Marko Sarstedt,et al.  The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications , 2012 .

[44]  ShmueliGalit,et al.  Predictive analytics in information systems research , 2011 .

[45]  M. Conner,et al.  Prospective prediction of health-related behaviours with the Theory of Planned Behaviour: a meta-analysis , 2011 .

[46]  J. Lee,et al.  Risk, uncertainty and the theory of planned behavior: A tourism example , 2010 .

[47]  Gert-Jan de Bruijn,et al.  Understanding college students ’ fruit consumption . Integrating habit strength in the theory of planned behaviour , 2010 .

[48]  Gaby Odekerken-Schröder,et al.  Using PLS path modeling for assessing hierarchial construct models: guidelines and impirical illustration , 2009 .

[49]  Brooks C. Holtom,et al.  Survey response rate levels and trends in organizational research , 2008 .

[50]  S. Bamberg,et al.  Social context, personal norms and the use of public transportation: Two field studies , 2007 .

[51]  S. Bamberg,et al.  Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour , 2007 .

[52]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[53]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[54]  Richard P. Bagozzi,et al.  Assessing Construct Validity in Organizational Research , 1991 .

[55]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .

[56]  M. Stone Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[57]  S. Geisser A predictive approach to the random effect model , 1974 .

[58]  R. V. Krejcie,et al.  Determining Sample Size for Research Activities , 1970 .

[59]  Alan Blair Social Research , 1935, Nature.