Sharon Yam, Chyi Lin Lee, Connie Susilawati and Andrea Blake
The property industry has been experiencing massive transformation due to rapid technological advancement in the last decade. A large body of literature has attempted to identify…
Abstract
Purpose
The property industry has been experiencing massive transformation due to rapid technological advancement in the last decade. A large body of literature has attempted to identify the challenges confronting property professionals, with some examining the impact brought by Property Industry 4.0 on the future workforce. To effectively address the challenges, however, we need participation from diverse stakeholders, as previously proposed strategies have often only considered perspectives from specific cohorts and lacked broader engagement. Hence, this study aims to formulate comprehensive strategies to address the challenges facing our future workforce in the age of Property Industry 4.0.
Design/methodology/approach
For the first time, we invited a unique lineup of stakeholders to our co-design workshops. These include property leaders, property professionals, recent property graduates, property students, property academics, program directors, as well as university leadership executives, to make sure the outcomes are relevant, effective and user-oriented.
Findings
Four strategies were recommended to future-proof our property graduates: (1) enhancing AI-focused content in universities and collaborating with industry stakeholders, (2) regulating AI adoption by bodies like the Australian Property Institute (API), (3) introducing industry certifications to address ethical concerns and (4) developing students' soft skills via internships and networking events in collaboration with professional bodies.
Originality/value
This study is the first to employ a co-design workshop, incorporating the perspectives of all stakeholders in crafting potential solutions. These include property leaders, property practitioners, recent property graduates, property academics, property students and senior school executives (e.g. deputy dean and deputy head of education).
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Vincenzo Varriale, Antonello Cammarano, Francesca Michelino and Mauro Caputo
The purpose of this study is to identify and characterize the role of both original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry. In…
Abstract
Purpose
The purpose of this study is to identify and characterize the role of both original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry. In particular, this study aims to evaluate which of the two actors possesses the knowledge that has the greatest impact on the market satisfaction.
Design/methodology/approach
This study explores and combines the concepts of modularity and knowledge management by investigating the patent portfolio of 16 leading smartphone OEMs and 144 MSs. The applied methodology is based on the content analysis of patent data to extract information on both OEM’s and MS’s component knowledge.
Findings
The results show that, although its components are purchased from external MSs, the OEM should preserve both a general and specific concentration of component knowledge, as well as on the end product, to achieve a greater market satisfaction. Moreover, a positive direct relationship was found for the MS between the general concentration of component knowledge and the market satisfaction.
Originality/value
The novelty of this study is to segment the knowledge of both the OEM and the MS on multiple levels. To the best of the authors’ knowledge, this is one of the first studies that investigates the end product and component knowledge of both actors by filtering patent data using text-mining techniques. The originality of this work is to intercept the relationship between the different shades of knowledge of each actor and the market satisfaction.
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Previous studies have empirically examined the positive outcomes organizations can achieve by engaging in environmentally responsible actions, but the underlying mechanism of the…
Abstract
Purpose
Previous studies have empirically examined the positive outcomes organizations can achieve by engaging in environmentally responsible actions, but the underlying mechanism of the reasons why publics engage in supportive behaviors for those organizations has not been examined in light of theoretical foundations. To fill this gap, this paper builds on a foundation of norm activation theory to explore the effect of publics' awareness of environmental consequences on perceived environmental responsibility of organizations and organizational norm, which can have an impact on publics' supportive behavior toward environmentally responsible organizations. The potential relationships between social media use for environmental information and other variables are also explored.
Design/methodology/approach
Drawing on norm activation theory, an online survey was conducted among 288 adults in the United States. Participants were recruited from Amazon Mechanical Turk.
Findings
Findings indicate the impact of individuals' awareness of environmental consequences on their ascription of responsibility to organizations, which influences organizational norm and supportive behavior intention toward organizations.
Originality/value
This study is one of the first attempts to explore the underlying mechanism of publics' support for environmentally responsible organizations.
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Nripendra Singh, Anand Jaiswal and Tanuj Singh
The study aims to investigate the time for social media posts and reviews in order to determine the best timing to ensure maximum outreach and interactions from users. The study…
Abstract
Purpose
The study aims to investigate the time for social media posts and reviews in order to determine the best timing to ensure maximum outreach and interactions from users. The study intends to analytically investigate a company's Facebook and Instagram pages to get meaningful insights for effective post management.
Design/methodology/approach
“Great Deal Tires” company’s Facebook and Instagram business pages were taken as the case study and patterns and analytical insights for different posts using Facebook and Instagram analytics were identified. The study categorically selected posts from Facebook pages and Instagram pages that were posted at different times and assessed on their impact.
Findings
According to the study, Tuesday and Wednesday have higher engagement on the Great Deal Tires Facebook page, while Friday has higher engagement on Instagram. The study also provided valuable insights into post content and timing in order to increase the marketing impact of the posts.
Originality/value
The study provides an analytical framework for analyzing post and review timing on various company business pages, allowing marketers to initiate more user visits and interactions.