time order
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2021 ◽  
Vol 104 (3) ◽  
Author(s):  
Marlon Brenes ◽  
Silvia Pappalardi ◽  
Mark T. Mitchison ◽  
John Goold ◽  
Alessandro Silva
Keyword(s):  

Author(s):  
Giuli Ekhvaia

The article discusses the actual subjects of time management. The inevitability of ruling and ordering time is based on foreign experience and different kinds of researches. The article focuses on the following subjects: effective time order, finding time, setting priorities and controlling fulfillment of plans. Each of them is analyzed according to practical ways of their realization. It is confirmed that one should be courageous and sincere enough to set the aim, turn the aim into the plan and never be scared of failure.


Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1275
Author(s):  
Nahyung Lee ◽  
Jeehyun Lee

Consumer tests are classified in terms of the location of testing as laboratory tests or central location tests (CLTs) and home use tests (HUTs). CLT is generally used in sensory tests due to the ease of test control, whereas HUT has higher validity because of real consumption. However, the lack of test control in HUT is a major issue. In order to investigate the error occurrence and efforts required to minimize errors, three groups of tests were designed differing time and order control and evaluation was conducted using six snacks with texture differences. Errors related to time, order, and consumer or sample number were higher for more controlled conditions, however, most errors were recoverable using identification information except for cases of no response. Additionally, consumers preferred to consume all snacks in the evening at home, which differed from the typical 9 a.m. to 6 p.m. evaluation time in CLT. However, the timing differed for consumers with self-reported snacking time. The research title that included the term ‘home’ might have influenced the participants’ choice of location for evaluation. Overall, there was no significant difference between the results of groups despite different time and order controls, which could increase the applicability of HUT.


MIS Quarterly ◽  
2021 ◽  
Vol 45 (2) ◽  
pp. 985-1006
Author(s):  
Michael Chau ◽  
Wenwen Li ◽  
Boye Yang ◽  
Alice Lee ◽  
Zhuolan Bao

Online auction markets host a large number of transactions every day. The transaction data in auction markets are useful for understanding the buyers and sellers in the market. Previous research has shown that sellers with different levels of reputation, as shown by the ratings and comments left in feedback systems, enjoy different levels of price premiums for their transactions. Feedback scores and feedback texts have been shown to correlate with buyers’ level of trust in a seller and the price premium that buyers are willing to pay (Ba and Pavlou 2002; Pavlou and Dimoka 2006). However, existing models do not consider the time-order effect, which means that feedback posted more recently may be considered more important than feedback posted less recently. This paper addresses this shortcoming by (1) testing the existence of the time-order effect, and (2) proposing a Bayesian updating model to represent buyers’ perceived reputation considering the time-order effect and assessing how well it can explain the variation in buyers’ trust and price premiums. In order to validate the time-order effect and evaluate the proposed model, we conducted a user experiment and collected real-life transaction data from the eBay online auction market. Our results confirm the existence of the time-order effect and the proposed model explains the variation in price premiums better than the benchmark models. The contribution of this research is threefold. First, we verify the time-order effect in the feedback mechanism on price premiums in online markets. Second, we propose a model that provides better explanatory power for price premiums in online auction markets than existing models by incorporating the time-order effect. Third, we provide further evidence for trust building via textual feedback in online auction markets. The study advances the understanding of the feedback mechanism in online auction markets.


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