A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse

Mahroof, Kamran

doi:10.1016/j.ijinfomgt.2018.11.008

Cited by 157 publications

(81 citation statements)

References 127 publications

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“…As the progress of AI technology enables researchers to create advanced machines, it is possible for AI to undertake more complex tasks that require cognitive capabilities such as making tacit judgements, sensing emotion and driving processes which previously seemed impossible (Mahroof, 2019). As a result, an increasing number of jobs are autonomously performed by AI systems without human control and supervision (Złotowski, Yogeeswaran, & Bartneck, 2017).…”

Section: An Overview Of Using Ai For Decision Makingmentioning

confidence: 99%

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Duan

Edwards

Dwivedi

2019

International Journal of Information Management

1,552

554

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Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.

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Section: An Overview Of Using Ai For Decision Makingmentioning

confidence: 99%

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Duan

Edwards

Dwivedi

2019

International Journal of Information Management

1,552

554

View full text Add to dashboard Cite

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“…These systems control water consumption and save energy for air conditioning and ventilation (Fikiin et al, 2017;Geyi et al, 2019). Modern lighting and heating and cooling systems allow for significant savings in terms of media consumption throughout the building (Mahroof, 2019).…”

Section: Results and Disscussionmentioning

confidence: 99%

The scope of diversification of the warehouse space market in a regional configuration

Marcysiak¹

2020

JESI

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The purpose of the study is an attempt to show the scope of diversity occurring in the warehouse space market in a regional system. The size of the existing warehouse space, the scope of its use and the level of rents were analysed. The basic factors affecting the location of such objects in a given area were also indicated. Poland has the largest warehouse space market among the countries of Central and Eastern Europe (CEE). The amount of warehouse space in Poland is increasing every year. In 2014, it amounted to 8.5 million m2 and in the third quarter of 2019, 17.7 million m2. Currently, over 83% of the warehouse space market is concentrated in five main regions. These include the Warsaw region, Central Poland, Upper Silesia, Wrocław and the Poznań region. These centres, having a large population, generate significant demand for goods stored in warehouses. At the same time, locations around Szczecin, Tri-City, Rzeszów and Lublin are becoming the subject of growing interest of many developers and tenants. The increase in their investment potential is influenced by the availability of labour as well as differences in the level of employees' remuneration and the availability of land at attractive prices.

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“…Some practitioners do not have a good understanding of the whole process of low temperature. Although dairy products are transported by refrigerated trucks, improper operation, poor temperature control, or lack of professionalism in the cold chain, incorrect cost savings in logistics, did not make dairy products in the right temperature state, as long as a staff member improper operation will lead to deterioration of dairy products [6].…”

Section: Personnel Managementmentioning

confidence: 99%

Research Report on Cold Chain Logistics of Dairy Products—A Case Study of GuangMing Dairy Industry

Yi¹,

Xie²

2019

dtssehs

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In recent years, with the rapid development of domestic logistics industry, people's demand for dairy products has increased rapidly. However, the overall level of development of cold chain logistics in China is not high, and the market development model is not yet mature and perfect. Enterprises encounter many problems and difficulties in the process of developing cold chain goods. The paper mainly focuses on the problems of cold chain logistics in Bright Dairy Industry and how to optimize and solve them, including cold chain logistics information management, personnel management, cold chain logistics center planning and design, cold chain distribution and distribution center planning and layout. Through a large number of data and research and analysis, the Bright Dairy cold chain logistics problems have been summed up and optimization programs are discussed.

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A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse

Cited by 157 publications

References 127 publications

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

The scope of diversification of the warehouse space market in a regional configuration

Research Report on Cold Chain Logistics of Dairy Products—A Case Study of GuangMing Dairy Industry

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