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Behavioral factors influencing partner trust in logistics collaboration: a review
(Springer Berlin Heidelberg, 2016) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
Logistics collaboration has emerged a prevalent strategy to mitigate challenge individuals and organizations encounter. A successful collaboration, however, depends on certain trustworthy behaviors partner exhibit. To that end, understanding aspects constituting behavioral uncertainty and mechanisms by which such aspects affect partner trust is a necessary. This necessity counts on emergent behavioral trust uncertainties, constituted by partner’s actions and interactions occurring during collaboration. While this is a necessary requirement, most of the studies in the literature lack to take into account the influence of behavioral uncertainty on collaboration and partner trust. To that effect, this paper uncovers outlined limitation by establishing behavioral factors influencing partner trust in operational stage of logistics collaboration. To accomplish this objective, a systematic literature review (SLR) is deployed to consolidate research domains of logistics, supply chain, collaboration, and trust. SLR proceeds by defining a review protocol, followed by a search process conducted in 5 databases using 20 search terms on articles published between 2001 and 2015 inclusively. Among findings this SLR has revealed are four behavioral factors and thirteen criteria proposed to affect partner trust. Additionally, these factors constitute success and measurable criteria needed for empirical investigation which may employ experimental and/or case-study methods. Moreover, synthesized factors extend further an understanding of behavioral trust in ad hoc collaborative networks, a large part of which being supported by networks of humans and computers.
Trust framework on exploitation of humans as the weakest link in cybersecurity
(NASK–Państwowy Instytut Wydawniczy, 2023) Daudi, Morice
The significance of cybersecurity is increasing in our daily digital lives. The reason for this rise is that human interactions take place in computer-mediated environments, or cyberspace, where physical cues from face-to-face interactions are either absent or very minimal. Computer users are becoming increasingly susceptible to cyberattacks as a result of human interactions in cyberspace. Understanding how cybercriminals exploit the human trust, the weakest link in cybersecurity is relevant because cybercriminals focus on attacking the human psychology of trust rather than technical-based controls. To this end, the present paper develops a trust framework on exploitation of humans as the weakest link in cybersecurity. The framework is established by linking the human psychology of trust and techniques used by cybercriminals in deceiving and manipulating users of computer systems. The framework is validated by demonstrating its application using a case study employing real data. Findings show that cybercriminals exploit human trust based on trust development processes and bases of trust, either creating (falsified) expectations or a relationship history to lure the victim in. Furthermore, it is revealed that technical-based controls cannot provide effective safeguards to prevent manipulation of the human psychology of trust.
A Decision supporting algorithm for improving sunflower production amidst changing weather in the singida region, Tanzania
(East African Journal of Science, Technology and Innovation, 2024) Kisanjara, Simeo; Matimbwa, Hadija
Recent drastic weather shifts driven by global warming have adversely affected African agriculture, culminating in low crop yields. The purpose of this study is to design decision support algorithms (DSA) that will aid sunflower farmers in the Singida Region in managing the risks associated with weather variations and consequently improve crop yields. A total of 80 respondents, including meteorologists, agricultural extension officers (AEOs), and farmers with feature and smart phones, contributed to the study's designedand empirical validation of the algorithm. The study designed and validated the DSA that assist sunflower growers in the Singida region in making informed decisions to improve productivity amidst adverse weather changes. As revealed, farmerswho use both smartphones and feature phones are extremely satisfied with the DSA functions. The decision support algorithm designedin this study integrates smart and feature phone elements that were overlooked in comparable, prior systems and algorithms.Farmers that grow other crops that behave similarly to sunflower in areas with characteristicscomparable to the Singida region will find the study's designedand validated algorithm helpful. In order to assist sunflower farmers in making decisions, theDSA interprets and processes data on a predetermined set of daily activities. In order to advance the use of ICT applications in farming activities, the study's findings took into consideration farmers who used feature phones with SMS-based notifications and those who used smartphones. The existing systems mostly concentrated on integrating web-based systems through mobile phones, which is dependent only on internet connectivity being available. Moreover, the use of web-based systems via mobile phones only results in restricted coverage and is out of reach for many farmers. Thus, the innovative element that emphasizes the study's contribution to the field in Tanzania's rural areas is the integration of feature and smart phone.IntroductionAgricultural production in Africa is significantly impacted by adverse weather shifts owing to variability (Stevanovi’c et al.,2016). The continent’svulnerability is attributable to severalchallenges, including extreme poverty, limitedemployment opportunities, and a lack of Keywords:ICTs; Decision Support Algorithm; Smart-feature phone; weather changes; Agriculture;Sunflower Productivity Cite as,Kisanjara and Matimbwa,(2024). A Decision supporting algorithm for improving sunflower production amidst changing weather in the singidaregion, Tanzania.East African Journal of Science, Technology and Innovation 5(2).Received: 02/01/24Accepted: 05/03/24Published: 28/03/24EISSN: 2707-0425
Internet of Things and organizational performance in the Tanzanian banks
(Emerald Publishing Limited, 2023) Kisanjara, Simeo
Purpose – The adoption of the Internet of Things (IoT) as a new technology is gaining traction in many business organizations in developing
countries. The purpose of this study is to assess the effect of IoT on the organizational performance of Tanzanian banks.
Design/methodology/approach – For data collection, this study used a quantitative approach with a questionnaire. A total of 342 respondents
were considered, with an 82.16% response rate. AMOS software was used to analyze data using structural equation modeling (SEM) as the primary
technique.
Findings – The results revealed that the majority of the hypotheses tested in this study have a significant effect on organizational performance, as
indicated by their p-value of 0.05. However, there is no statistically significant effect of performance expectancy on organizational performance by
lowering IoT operation costs. Furthermore, the availability of IoT has no discernible effect on organizational performance by improving service
quality.
Practical implications – The findings of this study inform policymakers to reformulate information and communication technologies policy to
clearly spell out the adoption and implementation of the IoT as a new technological innovation for providing services not only in the banking sector
but also in other service delivery organizations. In particular, the policy should have a clear vision of implementing an appealing, conducive and
positive, meaningful service delivery environment, as well as achieving appropriate, successful, effective and sustainable organizational performance
Originality/value – As a result, this paper contributes to a better understanding of the factors (including performance expectancy, effort expectancy
and accessibility) of IoT on organizational performance by influencing operational costs, service delivery speed and service quality. These factors
were not adequately addressed in previous related studies, and they have a significant influence on organizational performance levels in Tanzanian
banks.
Adoption and use of elearning in Tanzanian higher learning institutions: A structural equation model
(International Journal of Education & Development using Information & Communication Technology, 2023) Kisanjara, Simeo
Many higher learning Institutions (HLIs) in underdeveloped nations, especially in Tanzania, are not moving quickly enough to embrace eLearning. This study seeks to design a model for enhanced adoption and use of eLearning at Tanzanian higher learning Institutions. A quantitative cross-section survey design was used for data collection. Data were examined using SEM under AMOS software. The results showed that the level of eLearning adoption and use was significantly influenced by technological, user, pedagogical, social, and environmental factors. Based on this paper, policymakers and other stakeholders should embrace this model to give enough support for the adoption of eLearning and to enhance the performance in teaching and learning. To develop an appropriate, successful, effective, and long-lasting eLearning environment, decision makers can have a clear image of how to implement an appealing, conducive, and positive meaningful learning environment. As a result, the paper adds to the body of knowledge the factors (such as social, environmental, and human ones) that significantly affect the adoption of eLearning in Tanzania's HLIs. In addition, a model for the adoption and use of successful and improved eLearning in Tanzanian's HLIs and other countries with comparable features was developed and validated in the paper.