An Innovative Approach to Pretest Questionnaire: The Analysis of Respondents’ Comments in the Flexible Interview

Palmieri, Marco

doi:10.1177/0049124117729699

Cited by 4 publications

(3 citation statements)

References 24 publications

(20 reference statements)

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“…A total of 181 business and information systems students participated in the survey, which was voluntary in nature, with small drawn incentives as rewards (Choi, 2022). With the aim of concretizing the quality of the survey and its validity, a pretest was first performed with seven respondents (Palmieri, 2020). Subsequently, all survey participants received the same items, which were used to test the hypotheses (Larson et al, 1995).…”

Section: Measuring Data From a Web-based Surveymentioning

confidence: 99%

Trust-Supporting Design Elements as Signals for AI-Based Chatbots in Customer Service

Sonntag,

Mehmann,

Teuteberg

2023

International Journal of Service Science, Management, Engineering, and Technology

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In the present study, different trust factors regarding customers' perceptions of their intention to interact with or without trust-supporting design elements as signals (stimuli) in an artificial intelligence (AI)-based chatbot in customer service are identified. Based on 199 publications, a research model is derived for identifying and evaluating various variables influencing customers' views of their intention to interact with or without trust-supporting design elements as signals (stimuli) in AI-based chatbots in customer service. The research approach of the study model includes the influencing variables of perceived security and traceability, perceived social presence, and trust. A survey with 158 survey participants is used to empirically evaluate the model developed. One of the main findings of this research study is that perceived security and comprehensibility have a significant influence on the usage intention of an AI-based chatbot with trust-supporting design elements as signals (stimuli) in customer service.

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Section: Measuring Data From a Web-based Surveymentioning

confidence: 99%

Trust-Supporting Design Elements as Signals for AI-Based Chatbots in Customer Service

Sonntag,

Mehmann,

Teuteberg

2023

International Journal of Service Science, Management, Engineering, and Technology

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“…To minimize and reduce ambiguity and confusion, ten students from the target population were used to test the questionnaire [20]. Where appropriate, revisions were made to clear up any misunderstanding.…”

Section: Research Instrumentmentioning

confidence: 99%

Technological Disadvantaged Students’ Perception of Blending Learning in the COVID-19 Era – A Case of Cost Accounting 2 Students in South African University

Gqokonqana¹

2023

Proceedings of the Focus Conference (TFC 2022)

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The COVID-19 lockdown compelled higher education institutions to embrace the use of technology in the teaching and learning process more frequently than previously. The student cohorts enrolled in higher education institution under study in this paper, come from a technologically challenged background. This is largely because the technology was not used as a learning aid in students' previous schooling. The purpose of this study was to look into how students from a technologically disadvantaged educational background perceive blended learning in their Cost Accounting 2 level 2 learning at a selected higher education institution, especially during the COVID-19 pandemic. A quantitative approach was used to accomplish this because it allows surveys to be delivered to the entire impacted population while also reducing sampling error. Due to the COVID-19 pandemic, online questionnaires were used to collect information from participants. The participants expressed that blended learning is efficient and effective for learning Cost Accounting 2. The findings also show that using a learning management system makes learning more exciting for students and improves their learning experiences. Connectivity was identified as a barrier to this mode of learning. According to the study, constant reminders of any uploaded information on the system used, as well as improved connectivity, will speed up the process. In general, students, regardless of educational background, are enjoying this new mode of learning to such an extent that it could be introduced to the basic education level as well.

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“…Data yang digunakan dalam penelitian ini berdasarkan sumbernya yaitu data primer melalui wawancara dan pengisian kuesioner dengan responden (Jäntti, Heinävaara, Helander, Sarkeala, & Malila, 2017;Palmieri, 2017).sementara data sekunder diperoleh dari instansi terkait dan literatur penunjang yang terkait dengan penelitian. Teknik pengumpulan data : 1.…”

Section: Metode Penelitianunclassified

Analisis Faktor-Faktor Yang Memegaruhi Produksi Padi Sawah Di Desa Uetoli Kecamatan Ampana Tete Kabupaten Tojo Una-Una

Ifgayani¹,

Antara²,

Damayanti³

2019

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This study aimed to analyze factors affecting lowland rice production in Uetoli village of Ampana Tete sub-district. This village is one of the centers of rice production in Tojo Una-Una district. Population of this study was lowland rice farmers in Uetoli village within which 34 respondents were selected. Data collected was analyzed using the Cobb-Douglas production function analysis. The results of the study indicated that those variables such as land area (X1), number of seeds (X2), urea fertilizer (X3), phonska fertilizer (X4), and labor (X5) were simultaneously affected the rice production with F-counted value was 58.53 larger than the F-table (3.76) at 1% significance level (α) and R2 value was 0.955 indicating that 95.5% of variation in the rice production (Y) can be described by these variables. The coefficient regression was 0.429 for the land area (X1), 0.217 for the number of seeds (X2), 0.169 for the amount of urea fertilizer (X3), 0.163 for phonska fertilizer (X4), and 0.155 for the labor (X5). Keywords : Cobb-Douglas Production Function, Lowland Rice, and Regression.

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An Innovative Approach to Pretest Questionnaire: The Analysis of Respondents’ Comments in the Flexible Interview

Cited by 4 publications

References 24 publications

Trust-Supporting Design Elements as Signals for AI-Based Chatbots in Customer Service

Trust-Supporting Design Elements as Signals for AI-Based Chatbots in Customer Service

Technological Disadvantaged Students’ Perception of Blending Learning in the COVID-19 Era – A Case of Cost Accounting 2 Students in South African University

Analisis Faktor-Faktor Yang Memegaruhi Produksi Padi Sawah Di Desa Uetoli Kecamatan Ampana Tete Kabupaten Tojo Una-Una

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