Multi-Sensory Influences on Consumer Decision-Making DOI

Suhash Chandra Dey,

Nilanjana Chakrabarty

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 569 - 584

Опубликована: Дек. 13, 2024

This chapter explores the influence of sensory marketing, which engages five human senses (sight, sound, smell, touch, and taste), on consumer decision-making. It emphasizes application Multiple-Criteria Decision-Making (MCDM) methods, specifically Analytic Hierarchy Process (AHP) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), assess rank inputs according their effects engagement, emotional reactions, purchase decisions. By utilizing primary data, provides a systematic framework enhance effectiveness elements in marketing strategies.

Язык: Английский

Stage-wise green supply chain management and environmental performance: Impact of blockchain technology DOI Creative Commons
Sahil Singh Jasrotia, Siddharth Shankar, Shivam Rai

и другие.

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(2), С. 100241 - 100241

Опубликована: Май 4, 2024

In the era of globalisation, use technology and concerns for sustainability is eminent in supply chain management practices. The current study focuses on sustainable green practices different stages how they can be facilitated by blockchain (BT). has addressed existing gaps area namely, lack research assessing stage-wise environmental performance focusing BT. aims to assess impact BT a firm's performance. also analyzing uses PLS-based structural equation modelling approach investigate hypothesised relationships between adoption data was collected from individuals medium-sized enterprises manufacturing industry India. findings reveal positive association leading enhancement Furthermore, indicates relationship integration chain, underscoring its multi-faceted imply that facilitate realization improvement.

Язык: Английский

Процитировано

12

Data Fusion for Destination Success DOI
Hebatallah Ali Gaafar,

Bassam Samir Al‐Romeedy

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 38 - 60

Опубликована: Май 3, 2024

The integration of MKIS and BDA, along with data fusion techniques, can lead to more targeted effective marketing strategies for touristic destinations. This result in better customer satisfaction, increased visitor numbers, higher revenue the By leveraging fusion, destinations gain a deeper understanding tourists' preferences behaviors. enable them provide personalized tailored experiences, leading satisfaction loyalty. chapter aims shed light on BDA highlight potential destination success. bridging gap between traditional information systems advanced analytics capabilities big data, this seeks empower actionable insights improved experiences.

Язык: Английский

Процитировано

6

Evaluating brand equity in the hospitality industry: Insights from customer journeys and text mining DOI Creative Commons
Intaka Piriyakul, Shawanluck Kunathikornkit,

Rapepun Piriyakul

и другие.

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(2), С. 100245 - 100245

Опубликована: Апрель 30, 2024

To achieve effective marketing, continual enhancement of product and service quality is pivotal. Assessing brand equity encompasses diverse methods, including questionnaires interviews, unearthing invaluable customer insights. The choice data collection driven by researchers' objectives, may extend beyond direct interactions to employ techniques such as text mining, extracting insights from posts reviews. A study at Phuket's Amari Hotel seamlessly integrated journey analysis with yielding a robust hotel model. Notably, the findings unveiled substantial influence factors like location community value on equity, often overlooked in previous studies. Remarkably, accommodation room emerged dominant touchpoint (81 %). These can fuel transformation marketing strategies assessment. Moreover, this framework accommodates dynamic behavior while delivering cost efficiencies compared alternative machine learning methods.

Язык: Английский

Процитировано

5

Sequential mediator and moderator model of intention for the implementation of chatbots in Malaysian government agencies DOI
Ramizatunnisah Jais, Abdul Hafaz Ngah

Journal of Decision System, Год журнала: 2025, Номер 34(1)

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

0

Leveraging digital technologies for operational excellence in pharmaceutical sourcing: a dynamic capabilities perspective DOI

Prabakaran Yogeswaran,

Sachin Modgil, Rohit Kumar Singh

и другие.

Benchmarking An International Journal, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Purpose This study explores the strategic integration of digital technologies in pharmaceutical sourcing to enhance operational excellence. It investigates how sourcing, empowered by technologies, develops traceability, financial flexibility and security capabilities, addressing dynamic challenges supply chain. Design/methodology/approach The employs a survey approach; self-made questionnaire was distributed, collecting data from 374 professionals Indian industry. Using structural equation modeling, tests hypotheses derived capability view (DCV) framework, focusing on impact sourcing. Findings results reveal that significantly within These capabilities suggesting facilitate excellence enabling better risk management, cost optimization chain resilience. Industry dynamism moderates association between these highlighting importance adaptability rapidly changing market. Originality/value research contributes management literature providing empirical evidence role transforming extends DCV detailing digitalization acts as resource. offers nuanced understanding its highly regulated complex underscores value navigating chain, offering insights for academics, practitioners policymakers aiming leverage transformation competitive advantage.

Язык: Английский

Процитировано

0

Big Data and Consumer Behavior DOI
Youssra Lazrak,

Ouijdane Amrani,

Amina El Idrissi Tissafi

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 266 - 283

Опубликована: Июнь 28, 2024

This study investigates the impact of big data on online consumer satisfaction and purchasing behavior within Moroccan context, addressing gap in understanding its effects specific markets. Through a quantitative analysis, authors explore how data's application personalized marketing strategies influences behaviors satisfaction. The research reveals critical role product quality recommendations enhancing satisfaction, despite general assumption price as primary factor. These findings suggest that data, while potent tailoring efforts, shows varied significance directly influencing levels Morocco. contributes to digital literature by providing insights into strategic engagement offering managerial implications for leveraging technology strategies.

Язык: Английский

Процитировано

2

From self-descriptions (SD) to self-recommendations (SR): Evolving Gaia-X for the future European economy DOI Creative Commons

Vincent Geilenberg,

Wolfgang H. Schulz,

Jonathan J. Mize

и другие.

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(2), С. 100249 - 100249

Опубликована: Май 17, 2024

The European decentralized-organized data-infrastructure ecosystem Gaia-X faces the challenge of initiating, maintaining, and intensifying data exchange between providers consumers in all its domains to contribute significantly future viability economy. overall success would enhance innovative power competitiveness companies reduce their dependence on American Chinese platform companies. This paper analyzes how Big Data era affects design centralized-organized platforms applies findings Gaia-X. It proposes extend Self-Descriptions (SD) already firmly embedded with so-called Self-Recommendations (SR) because, this way, can better express advantages over

Язык: Английский

Процитировано

0

Multi-Sensory Influences on Consumer Decision-Making DOI

Suhash Chandra Dey,

Nilanjana Chakrabarty

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 569 - 584

Опубликована: Дек. 13, 2024

This chapter explores the influence of sensory marketing, which engages five human senses (sight, sound, smell, touch, and taste), on consumer decision-making. It emphasizes application Multiple-Criteria Decision-Making (MCDM) methods, specifically Analytic Hierarchy Process (AHP) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), assess rank inputs according their effects engagement, emotional reactions, purchase decisions. By utilizing primary data, provides a systematic framework enhance effectiveness elements in marketing strategies.

Язык: Английский

Процитировано

0